Mining high-speed data streams

On computing correlated aggregates over continual data streams

SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data

Mining time-changing data streams

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining

A streaming ensemble algorithm (SEA) for large-scale classification

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining

Mining data streams under block evolution

ACM SIGKDD Explorations Newsletter

MobiMine: monitoring the stock market from a PDA

ACM SIGKDD Explorations Newsletter

Decision tree classification of spatial data streams using Peano Count Trees

Proceedings of the 2002 ACM symposium on Applied computing

Models and issues in data stream systems

Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems

Processing complex aggregate queries over data streams

Proceedings of the 2002 ACM SIGMOD international conference on Management of data

Mining long sequential patterns in a noisy environment

Proceedings of the 2002 ACM SIGMOD international conference on Management of data

Continuous queries over data streams

ACM SIGMOD Record

Temporal and spatio-temporal aggregations over data streams using multiple time granularities

Information Systems - Special issue: Best papers from EDBT 2002

Temporal Aggregation over Data Streams Using Multiple Granularities

EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology

Sequential Sampling Algorithms: Unified Analysis and Lower Bounds

SAGA '01 Proceedings of the International Symposium on Stochastic Algorithms: Foundations and Applications

A Scalable Constant-Memory Sampling Algorithm for Pattern Discovery in Large Databases

PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery

Surfing Wavelets on Streams: One-Pass Summaries for Approximate Aggregate Queries

Proceedings of the 27th International Conference on Very Large Data Bases

Automatically Selecting Strategies for Multi-Case-Base Reasoning

ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning

k-nearest Neighbor Classification on Spatial Data Streams Using P-trees

PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining

Maintaining variance and k-medians over data stream windows

Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems

Mining complex models from arbitrarily large databases in constant time

Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining

One-Pass Wavelet Decompositions of Data Streams

IEEE Transactions on Knowledge and Data Engineering

A framework for diagnosing changes in evolving data streams

Proceedings of the 2003 ACM SIGMOD international conference on Management of data

Finding the most interesting patterns in a database quickly by using sequential sampling

The Journal of Machine Learning Research

Dynamic Weighted Majority: A New Ensemble Method for Tracking Concept Drift

ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining

Prototype-based mining of numeric data streams

Proceedings of the 2003 ACM symposium on Applied computing

Mining concept-drifting data streams using ensemble classifiers

Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining

Accurate decision trees for mining high-speed data streams

Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining

Efficient decision tree construction on streaming data

Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining

Recent progress on selected topics in database research: a report by nine young Chinese researchers working in the United States

Journal of Computer Science and Technology

Prospects and challenges for multi-relational data mining

ACM SIGKDD Explorations Newsletter

A Fourier Spectrum-Based Approach to Represent Decision Trees for Mining Data Streams in Mobile Environments

IEEE Transactions on Knowledge and Data Engineering

Forest trees for on-line data

Proceedings of the 2004 ACM symposium on Applied computing

Discovering decision rules from numerical data streams

Proceedings of the 2004 ACM symposium on Applied computing

Cost-efficient mining techniques for data streams

ACSW Frontiers '04 Proceedings of the second workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation - Volume 32

Incremental learning with partial instance memory

Artificial Intelligence

Detection of complex temporal patterns over data streams

Information Systems - Special issue: ADBIS 2002: Advances in databases and information systems

Holistic UDAFs at streaming speeds

SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data

Genetic programming in classifying large-scale data: an ensemble method

Information Sciences: an International Journal - Special issue: Soft computing data mining

Systematic data selection to mine concept-drifting data streams

Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining

On demand classification of data streams

Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining

Framework and algorithms for trend analysis in massive temporal data sets

Proceedings of the thirteenth ACM international conference on Information and knowledge management

Finding hot query patterns over an XQuery stream

The VLDB Journal — The International Journal on Very Large Data Bases

On Change Diagnosis in Evolving Data Streams

IEEE Transactions on Knowledge and Data Engineering

estWin: Online data stream mining of recent frequent itemsets by sliding window method

Journal of Information Science

BRAID: stream mining through group lag correlations

Proceedings of the 2005 ACM SIGMOD international conference on Management of data

A native extension of SQL for mining data streams

Proceedings of the 2005 ACM SIGMOD international conference on Management of data

Learning decision trees from dynamic data streams

Proceedings of the 2005 ACM symposium on Applied computing

Hierarchical Decision Tree Induction in Distributed Genomic Databases

IEEE Transactions on Knowledge and Data Engineering

Efficient mining method for retrieving sequential patterns over online data streams

Journal of Information Science

Streaming pattern discovery in multiple time-series

VLDB '05 Proceedings of the 31st international conference on Very large data bases

Content-based routing: different plans for different data

VLDB '05 Proceedings of the 31st international conference on Very large data bases

Mining data streams: a review

ACM SIGMOD Record

Making SVMs Scalable to Large Data Sets using Hierarchical Cluster Indexing

Data Mining and Knowledge Discovery

On Reducing Classifier Granularity in Mining Concept-Drifting Data Streams

ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining

A Framework for On-Demand Classification of Evolving Data Streams

IEEE Transactions on Knowledge and Data Engineering

Dependency trees in sub-linear time and bounded memory

The VLDB Journal — The International Journal on Very Large Data Bases

DSM-PLW: single-pass mining of path traversal patterns over streaming web click-sequences

Computer Networks: The International Journal of Computer and Telecommunications Networking - Web dynamics

Suppressing model overfitting in mining concept-drifting data streams

Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining

Adaptive Clustering for Multiple Evolving Streams

IEEE Transactions on Knowledge and Data Engineering

Effective classification of noisy data streams with attribute-oriented dynamic classifier selection

Knowledge and Information Systems

Classification spanning correlated data streams

CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management

Detecting and tracking regional outliers in meteorological data

Information Sciences: an International Journal

Finding recently frequent itemsets adaptively over online transactional data streams

Information Systems

Decision trees for mining data streams

Intelligent Data Analysis

On string classification in data streams

Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining

Real-time ranking with concept drift using expert advice

Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining

StatStream: statistical monitoring of thousands of data streams in real time

VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases

Reverse nearest neighbor aggregates over data streams

VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases

Incremental learning and concept drift in INTHELEX

Intelligent Data Analysis

Online classification of nonstationary data streams

Intelligent Data Analysis

A framework for generating data to simulate changing environments

AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications

Using classifier ensembles to label spatially disjoint data

Information Fusion

Clustering over Multiple Evolving Streams by Events and Correlations

IEEE Transactions on Knowledge and Data Engineering

A framework for clustering evolving data streams

VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29

A regression-based temporal pattern mining scheme for data streams

VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29

A framework for projected clustering of high dimensional data streams

VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30

Boolean representation based data-adaptive correlation analysis over time series streams

Proceedings of the sixteenth ACM conference on Conference on information and knowledge management

Immune-inspired incremental feature selection technology to data streams

Applied Soft Computing

Non-stationary data sequence classification using online class priors estimation

Pattern Recognition

Boosting classifiers for drifting concepts

Intelligent Data Analysis - Knowlegde Discovery from Data Streams

Collaborative filtering on streaming data with interest-drifting

Intelligent Data Analysis - Knowlegde Discovery from Data Streams

Efficient instance-based learning on data streams

Intelligent Data Analysis

Real-time data mining of non-stationary data streams from sensor networks

Information Fusion

A semi-random multiple decision-tree algorithm for mining data streams

Journal of Computer Science and Technology

Approximate mining of maximal frequent itemsets in data streams with different window models

Expert Systems with Applications: An International Journal

Learning in Environments with Unknown Dynamics: Towards more Robust Concept Learners

The Journal of Machine Learning Research

Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts

The Journal of Machine Learning Research

Categorizing and mining concept drifting data streams

Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining

Improving the performance of an incremental algorithm driven by error margins

Intelligent Data Analysis - Knowledge Discovery from Data Streams

Incremental tensor analysis: Theory and applications

ACM Transactions on Knowledge Discovery from Data (TKDD)

Info-fuzzy algorithms for mining dynamic data streams

Applied Soft Computing

Peer to peer botnet detection for cyber-security: a data mining approach

Proceedings of the 4th annual workshop on Cyber security and information intelligence research: developing strategies to meet the cyber security and information intelligence challenges ahead

An Efficient and Sensitive Decision Tree Approach to Mining Concept-Drifting Data Streams

Informatica

Distributed mining of censored production rules in data streams: an evolutionary approach

AIKED'08 Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases

An Incremental Fuzzy Decision Tree Classification Method for Mining Data Streams

MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition

Learning Higher Accuracy Decision Trees from Concept Drifting Data Streams

IEA/AIE '08 Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence

Online Outlier Detection Based on Relative Neighbourhood Dissimilarity

WISE '08 Proceedings of the 9th international conference on Web Information Systems Engineering

Classifying Evolving Data Streams Using Dynamic Streaming Random Forests

DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications

Continuous Trend-Based Clustering in Data Streams

DaWaK '08 Proceedings of the 10th international conference on Data Warehousing and Knowledge Discovery

Efficient algorithms for incremental maintenance of closed sequential patterns in large databases

Data & Knowledge Engineering

Mining decision rules on data streams in the presence of concept drifts

Expert Systems with Applications: An International Journal

Mining frequent itemsets over data streams using efficient window sliding techniques

Expert Systems with Applications: An International Journal

Multi-query optimization for sketch-based estimation

Information Systems

Learning Model Trees from Data Streams

DS '08 Proceedings of the 11th International Conference on Discovery Science

Decision Tree Induction from Numeric Data Stream

AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence

Class Specific Fuzzy Decision Trees for Mining High Speed Data Streams

Fundamenta Informaticae

ODMCA: An adaptive data mining control algorithm in multicarrier networks

Computer Communications

Incrementally Mining Recently Repeating Patterns over Data Streams

New Frontiers in Applied Data Mining

Adaptive correlation analysis in stream time series with sliding windows

Computers & Mathematics with Applications

Indexing density models for incremental learning and anytime classification on data streams

Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology

Real-time GPS via Jamdroid server enhanced by TelegraphCQ & augmented by RFID tag

Proceedings of the International Conference on Advances in Computing, Communication and Control

Information processing using data stream management system on Jamdroid

Proceedings of the International Conference on Advances in Computing, Communication and Control

HTILDE: scaling up relational decision trees for very large databases

Proceedings of the 2009 ACM symposium on Applied Computing

Evaluating algorithms that learn from data streams

Proceedings of the 2009 ACM symposium on Applied Computing

A Multi-partition Multi-chunk Ensemble Technique to Classify Concept-Drifting Data Streams

PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining

Parameter Estimation in Semi-Random Decision Tree Ensembling on Streaming Data

PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining

CBDT: A Concept Based Approach to Data Stream Mining

PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining

An Aggregate Ensemble for Mining Concept Drifting Data Streams with Noise

PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining

A system for analysis and prediction of electricity-load streams

Intelligent Data Analysis - Knowledge Discovery from Data Streams

Flexible decision tree for data stream classification in the presence of concept change, noise and missing values

Data Mining and Knowledge Discovery

Preface: an overview on learning from data streams

New Generation Computing

Mining frequent itemsets in data streams using the weighted sliding window model

Expert Systems with Applications: An International Journal

New ensemble methods for evolving data streams

Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining

Issues in evaluation of stream learning algorithms

Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining

BBM: bayesian browsing model from petabyte-scale data

Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining

Robust Division in Clustering of Streaming Time Series

Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence

OcVFDT: one-class very fast decision tree for one-class classification of data streams

Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data

Lacking Labels in the Stream: Classifying Evolving Stream Data with Few Labels

ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems

Novelty Detection from Evolving Complex Data Streams with Time Windows

ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems

Adaptive Learning from Evolving Data Streams

IDA '09 Proceedings of the 8th International Symposium on Intelligent Data Analysis: Advances in Intelligent Data Analysis VIII

Ambiguous decision trees for mining concept-drifting data streams

Pattern Recognition Letters

Detect and track latent factors with online nonnegative matrix factorization

IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence

Mining data streams with periodically changing distributions

Proceedings of the 18th ACM conference on Information and knowledge management

Dynamic security policy learning

Proceedings of the first ACM workshop on Information security governance

HE-Tree: a framework for detecting changes in clustering structure for categorical data streams

The VLDB Journal — The International Journal on Very Large Data Bases

Improving real-time GPS by incorporating telegraphCQ in Jamdroid architecture

ISWPC'09 Proceedings of the 4th international conference on Wireless pervasive computing

C-DenStream: Using Domain Knowledge on a Data Stream

DS '09 Proceedings of the 12th International Conference on Discovery Science

Improving Adaptive Bagging Methods for Evolving Data Streams

ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning

Association rule mining in multiple, multidimensional time series medical data

ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo

Efficient decision tree construction for mining time-varying data streams

CASCON '09 Proceedings of the 2009 Conference of the Center for Advanced Studies on Collaborative Research

Adaptive Stream Mining: Pattern Learning and Mining from Evolving Data Streams

Proceedings of the 2010 conference on Adaptive Stream Mining: Pattern Learning and Mining from Evolving Data Streams

Communication-Efficient Privacy-Preserving Clustering

Transactions on Data Privacy

Incremental learning with multiple classifier systems using correction filters for classification

IDA'07 Proceedings of the 7th international conference on Intelligent data analysis

A new fuzzy decision tree classification method for mining high-speed data streams based on binary search trees

FAW'07 Proceedings of the 1st annual international conference on Frontiers in algorithmics

Beyond online aggregation: parallel and incremental data mining with online Map-Reduce

Proceedings of the 2010 Workshop on Massive Data Analytics on the Cloud

A new decision tree classification method for mining high-speed data streams based on threaded binary search trees

PAKDD'07 Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining

New options for hoeffding trees

AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence

Semi-fuzzy splitting in online divisive-agglomerative clustering

EPIA'07 Proceedings of the aritficial intelligence 13th Portuguese conference on Progress in artificial intelligence

Handling numeric attributes in hoeffding trees

PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining

Maintaining optimal multi-way splits for numerical attributes in data streams

PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining

Event-based lossy compression for effective and efficient OLAP over data streams

Data & Knowledge Engineering

An incremental extremely random forest classifier for online learning and tracking

ICIP'09 Proceedings of the 16th IEEE international conference on Image processing

MG-join: detecting phenomena and their correlation in high dimensional data streams

Distributed and Parallel Databases

Data mining with differential privacy

Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining

Real-time visualization of network behaviors for situational awareness

Proceedings of the Seventh International Symposium on Visualization for Cyber Security

Bayesian Browsing Model: Exact Inference of Document Relevance from Petabyte-Scale Data

ACM Transactions on Knowledge Discovery from Data (TKDD)

Fast Discovery of Group Lag Correlations in Streams

ACM Transactions on Knowledge Discovery from Data (TKDD)

Tree induction over perennial objects

SSDBM'10 Proceedings of the 22nd international conference on Scientific and statistical database management

Describing data with the support vector shell in distributed environments

ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects

Leveraging bagging for evolving data streams

ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I

Robust ensemble learning for mining noisy data streams

Decision Support Systems

Active learning from stream data using optimal weight classifier ensemble

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Sentiment knowledge discovery in twitter streaming data

DS'10 Proceedings of the 13th international conference on Discovery science

Exploiting code redundancies in ECOC

DS'10 Proceedings of the 13th international conference on Discovery science

Detecting and ordering salient regions

Data Mining and Knowledge Discovery

Dynamic visualization of transient data streams

INFOVIS'03 Proceedings of the Ninth annual IEEE conference on Information visualization

Learning model trees from evolving data streams

Data Mining and Knowledge Discovery

Resource aware distributed knowledge discovery

Ubiquitous knowledge discovery

On-line learning: where are we so far?

Ubiquitous knowledge discovery

Change detection with Kalman filter and CUSUM

Ubiquitous knowledge discovery

Discovery of frequent patterns in transactional data streams

Transactions on large-scale data- and knowledge-centered systems II

Incremental multi-target model trees for data streams

Proceedings of the 2011 ACM Symposium on Applied Computing

Efficient decision tree re-alignment for clustering time-changing data streams

From active data management to event-based systems and more

Resource aware distributed knowledge discovery

Ubiquitous knowledge discovery

On-line learning: where are we so far?

Ubiquitous knowledge discovery

Change detection with Kalman filter and CUSUM

Ubiquitous knowledge discovery

Discovery of frequent patterns in transactional data streams

Transactions on large-scale data- and knowledge-centered systems II

Effective sentiment stream analysis with self-augmenting training and demand-driven projection

Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval

Cloud-based malware detection for evolving data streams

ACM Transactions on Management Information Systems (TMIS)

Enabling fast prediction for ensemble models on data streams

Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining

Accuracy updated ensemble for data streams with concept drift

HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II

Classification model for data streams based on similarity

IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part I

Distributed classification for pocket data mining

ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems

Classification rule mining for a stream of perennial objects

RuleML'2011 Proceedings of the 5th international conference on Rule-based reasoning, programming, and applications

A bounded version of online boosting on open-ended data streams

DaWaK'11 Proceedings of the 13th international conference on Data warehousing and knowledge discovery

Moderated VFDT in stream mining using adaptive tie threshold and incremental pruning

DaWaK'11 Proceedings of the 13th international conference on Data warehousing and knowledge discovery

Mining data streams with concept drifts using genetic algorithm

Artificial Intelligence Review

SCENT: Scalable compressed monitoring of evolving multirelational social networks

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special section on ACM multimedia 2010 best paper candidates, and issue on social media

An efficient continuous attributes handling method for mining concept-drifting data streams based on skip list

AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part I

MOA-TweetReader: real-time analysis in Twitter streaming data

DS'11 Proceedings of the 14th international conference on Discovery science

Discovering customer intent in real-time for streamlining service desk conversations

Proceedings of the 20th ACM international conference on Information and knowledge management

Context-aware collaborative data stream mining in ubiquitous devices

IDA'11 Proceedings of the 10th international conference on Advances in intelligent data analysis X

Online evaluation of email streaming classifiers using GNUsmail

IDA'11 Proceedings of the 10th international conference on Advances in intelligent data analysis X

Smooth boosting using an information-based criterion

ALT'06 Proceedings of the 17th international conference on Algorithmic Learning Theory

Mining Recurring Concept Drifts with Limited Labeled Streaming Data

ACM Transactions on Intelligent Systems and Technology (TIST)

Ensembles of Restricted Hoeffding Trees

ACM Transactions on Intelligent Systems and Technology (TIST)

Evaluation of summarization schemes for learning in streams

PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases

Change detection with kalman filter and CUSUM

DS'06 Proceedings of the 9th international conference on Discovery Science

Incremental algorithm driven by error margins

DS'06 Proceedings of the 9th international conference on Discovery Science

Classifying noisy data streams

FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery

COMET: event-driven clustering over multiple evolving streams

PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining

Efficient mining of emerging events in a dynamic spatiotemporal environment

PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining

An adaptive nearest neighbor classification algorithm for data streams

PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases

Collaborative filtering on data streams

PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases

Stress-testing hoeffding trees

PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases

Interactive refinement of filtering queries on streaming intelligence data

ISI'06 Proceedings of the 4th IEEE international conference on Intelligence and Security Informatics

A single-pass online data mining algorithm combined with control theory with limited memory in dynamic data streams

GCC'05 Proceedings of the 4th international conference on Grid and Cooperative Computing

TWStream: finding correlated data streams under time warping

APWeb'06 Proceedings of the 8th Asia-Pacific Web conference on Frontiers of WWW Research and Development

On futuristic query processing in data streams

EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology

Learning with local drift detection

ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications

Improving the performance of data stream classifiers by mining recurring contexts

ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications

ML-CIDIM: multiple layers of multiple classifier systems based on CIDIM

RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II

A MPAA-Based iterative clustering algorithm augmented by nearest neighbors search for time-series data streams

PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining

Dynamic mining hierarchical topic from web news stream data using divisive-agglomerative clustering method

PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining

σ-SCLOPE: clustering categorical streams using attribute selection

KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II

Multivariate decision trees using different splitting attribute subsets for large datasets

AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence

Fast perceptron decision tree learning from evolving data streams

PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II

Discovery and diagnosis of behavioral transitions in patient event streams

ACM Transactions on Management Information Systems (TMIS)

Continuous trend-based classification of streaming time series

ADBIS'05 Proceedings of the 9th East European conference on Advances in Databases and Information Systems

An efficient algorithm for frequent itemset mining on data streams

ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining

On clustering techniques for change diagnosis in data streams

WebKDD'05 Proceedings of the 7th international conference on Knowledge Discovery on the Web: advances in Web Mining and Web Usage Analysis

Clustering distributed data streams in peer-to-peer environments

Information Sciences: an International Journal

Streaming data reduction using low-memory factored representations

Information Sciences: an International Journal

Voting massive collections of bayesian network classifiers for data streams

AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence

Mining uncertain data streams using clustering feature decision trees

ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part II

Homogeneous and heterogeneous distributed classification for pocket data mining

Transactions on Large-Scale Data- and Knowledge-Centered Systems V

A framework for application-driven classification of data streams

Neurocomputing

Very Fast Decision Rules for multi-class problems

Proceedings of the 27th Annual ACM Symposium on Applied Computing

Non-linear data stream compression: foundations and theoretical results

HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I

Hoeffding bound based evolutionary algorithm for symbolic regression

Engineering Applications of Artificial Intelligence

Kernel-based selective ensemble learning for streams of trees

IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two

Fast anomaly detection for streaming data

IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two

Dealing with concept drift and class imbalance in multi-label stream classification

IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two

Inverse matrix-free incremental proximal support vector machine

Decision Support Systems

Event-based classification of social media streams

Proceedings of the 2nd ACM International Conference on Multimedia Retrieval

Learning very fast decision tree from uncertain data streams with positive and unlabeled samples

Information Sciences: an International Journal

A new fuzzy classifier for data streams

ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I

A double-ensemble approach for classifying skewed data streams

PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I

Heterogeneous ensemble for feature drifts in data streams

PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II

Incrementally optimized decision tree for noisy big data

Proceedings of the 1st International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications

Incrementally optimized decision tree for noisy big data

Proceedings of the 1st International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications

Class Specific Fuzzy Decision Trees for Mining High Speed Data Streams

Fundamenta Informaticae

Time-series data mining

ACM Computing Surveys (CSUR)

Classifier Ensemble for Imbalanced Data Stream Classification

Proceedings of the CUBE International Information Technology Conference

Data stream classification with artificial endocrine system

Applied Intelligence

On the effectiveness of application-aware self-management for scientific discovery in volunteer computing systems

SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis

Framework for stream learning algorithms

International Journal of Computational Intelligence Studies

Multi-objective optimization for incremental decision tree learning

DaWaK'12 Proceedings of the 14th international conference on Data Warehousing and Knowledge Discovery

Handling time changing data with adaptive very fast decision rules

ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I

Next challenges for adaptive learning systems

ACM SIGKDD Explorations Newsletter

Batch-incremental versus instance-incremental learning in dynamic and evolving data

IDA'12 Proceedings of the 11th international conference on Advances in Intelligent Data Analysis

Classification of Peer-to-Peer Traffic Using A Two-Stage Window-Based Classifier With Fast Decision Tree and IP Layer Attributes

International Journal of Data Warehousing and Mining

On evaluating stream learning algorithms

Machine Learning

Quality of Experience Models for Multimedia Streaming

International Journal of Mobile Computing and Multimedia Communications

When Is the Right Time to Refresh Knowledge Discovered from Data?

Operations Research

RCD: A recurring concept drift framework

Pattern Recognition Letters

Efficient data stream classification via probabilistic adaptive windows

Proceedings of the 28th Annual ACM Symposium on Applied Computing

Performance evaluation of incremental decision tree learning under noisy data streams

International Journal of Computer Applications in Technology

Soft-CsGDT: soft cost-sensitive Gaussian decision tree for cost-sensitive classification of data streams

Proceedings of the 2nd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications

Learning from data streams with only positive and unlabeled data

Journal of Intelligent Information Systems

A survey on concept drift adaptation

ACM Computing Surveys (CSUR)

Novel class detection within classification for data streams

ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II

Mining Data Streams with Skewed Distribution based on Ensemble Method

International Journal of Advanced Pervasive and Ubiquitous Computing

A lossy counting based approach for learning on streams of graphs on a budget

IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence

Speeding up incremental wrapper feature subset selection with Naive Bayes classifier

Knowledge-Based Systems

Combining block-based and online methods in learning ensembles from concept drifting data streams

Information Sciences: an International Journal

An incremental decision tree algorithm based on rough sets and its application in intrusion detection

Artificial Intelligence Review

A similarity-based approach for data stream classification

Expert Systems with Applications: An International Journal

The CART decision tree for mining data streams

Information Sciences: an International Journal

Building fast decision trees from large training sets

Intelligent Data Analysis

Tracking recurrent concepts using context

Intelligent Data Analysis - Combined Learning Methods and Mining Complex Data