A guided tour of Chernoff bounds
Information Processing Letters
A result of Vapnik with applications
Discrete Applied Mathematics
Learning in the presence of concept drift and hidden contexts
Machine Learning
Meaningful change detection in structured data
SIGMOD '97 Proceedings of the 1997 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
Mining data streams under block evolution
ACM SIGKDD Explorations Newsletter
Models and issues in data stream systems
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
DEMON: Mining and Monitoring Evolving Data
IEEE Transactions on Knowledge and Data Engineering
Representing and Querying Changes in Semistructured Data
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
Mining Surprising Patterns Using Temporal Description Length
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Bursty and hierarchical structure in streams
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Testing that distributions are close
FOCS '00 Proceedings of the 41st Annual Symposium on Foundations of Computer Science
A framework for clustering evolving data streams
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
A PCA-based similarity measure for multivariate time series
Proceedings of the 2nd ACM international workshop on Multimedia databases
Temporal analysis of clusters of supermarket customers: conventional versus interval set approach
Information Sciences—Informatics and Computer Science: An International Journal
An Empirical Bayes Approach to Detect Anomalies in Dynamic Multidimensional Arrays
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
2005 Special Issue: Efficient streaming text clustering
Neural Networks - 2005 Special issue: IJCNN 2005
Low-power bus encoding using an adaptive hybrid algorithm
Proceedings of the 43rd annual Design Automation Conference
An efficient k nearest neighbor search for multivariate time series
Information and Computation
Supporting network coordinates on PlanetLab
WORLDS'05 Proceedings of the 2nd conference on Real, Large Distributed Systems - Volume 2
Efficient and effective explanation of change in hierarchical summaries
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
Detecting changes in large data sets of payment card data: a case study
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Modeling satellite image streams for change analysis
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
An active learning system for mining time-changing data streams
Intelligent Data Analysis
Efficient instance-based learning on data streams
Intelligent Data Analysis
Categorizing and mining concept drifting data streams
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
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
Maintaining the Maximum Normalized Mean and Applications in Data Stream Mining
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Supporting Customer Retention through Real-Time Monitoring of Individual Web Usage
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
StreamKrimp: Detecting Change in Data Streams
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Maintaining frequent closed itemsets over a sliding window
Journal of Intelligent Information Systems
Flooding-Assisted Threshold Assignment for Aggregate Monitoring in Sensor Networks
ICDCN '09 Proceedings of the 10th International Conference on Distributed Computing and Networking
Preface: an overview on learning from data streams
New Generation Computing
Measuring evolving data streams' behavior through their intrinsic dimension
New Generation Computing
Learning from Data Streams: Synopsis and Change Detection
Proceedings of the 2008 conference on STAIRS 2008: Proceedings of the Fourth Starting AI Researchers' Symposium
Change (Detection) You Can Believe in: Finding Distributional Shifts in Data Streams
IDA '09 Proceedings of the 8th International Symposium on Intelligent Data Analysis: Advances in Intelligent Data Analysis VIII
History Guided Low-Cost Change Detection in Streams
DaWaK '09 Proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery
Multivariable stream data classification using motifs and their temporal relations
Information Sciences: an International Journal
Prediction and change detection in sequential data for interactive applications
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Mining data streams with periodically changing distributions
Proceedings of the 18th ACM conference on Information and knowledge management
A multitask learning model for online pattern recognition
IEEE Transactions on Neural Networks
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
Efficient incremental mining of contrast patterns in changing data
Information Processing Letters
Detecting change in dynamic fitness landscapes
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Learning and Domain Adaptation
DS '09 Proceedings of the 12th International Conference on Discovery Science
Regression Trees from Data Streams with Drift Detection
DS '09 Proceedings of the 12th International Conference on Discovery Science
Learning Algorithms for Domain Adaptation
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
Distributed threshold selection for aggregate threshold monitoring in sensor networks
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
Temporal analysis of clusters of supermarket customers: conventional versus interval set approach
Information Sciences: an International Journal
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
An efficient algorithm for instance-based learning on data streams
ICDM'07 Proceedings of the 7th industrial conference on Advances in data mining: theoretical aspects and applications
FAW'07 Proceedings of the 1st annual international conference on Frontiers in algorithmics
PAKDD'07 Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining
Change detection in learning histograms from data streams
EPIA'07 Proceedings of the aritficial intelligence 13th Portuguese conference on Progress in artificial intelligence
Wireless video-based sensor networks for surveillance of residential districts
APWeb'08 Proceedings of the 10th Asia-Pacific web conference on Progress in WWW research and development
A test paradigm for detecting changes in transactional data streams
DASFAA'08 Proceedings of the 13th international conference on Database systems for advanced applications
Learning and domain adaptation
ALT'09 Proceedings of the 20th international conference on Algorithmic learning theory
Analyzing change in spatial data by utilizing polygon models
Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research & Application
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Using domain similarity for performance estimation
DANLP 2010 Proceedings of the 2010 Workshop on Domain Adaptation for Natural Language Processing
We're not in Kansas anymore: detecting domain changes in streams
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
On multi-column foreign key discovery
Proceedings of the VLDB Endowment
Mining concept-drifting data streams containing labeled and unlabeled instances
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
Research of fast SOM clustering for text information
Expert Systems with Applications: An International Journal
Learning model trees from evolving data streams
Data Mining and Knowledge Discovery
Resource aware distributed knowledge discovery
Ubiquitous knowledge discovery
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
Domain selection and adaptation in smart homes
ICOST'11 Proceedings of the 9th international conference on Toward useful services for elderly and people with disabilities: smart homes and health telematics
Context change detection for resource allocation in service-oriented systems
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part II
Anomaly detection in information streams without prior domain knowledge
IBM Journal of Research and Development
Pattern change discovery between high dimensional data sets
Proceedings of the 20th ACM international conference on Information and knowledge management
Robustness of change detection algorithms
IDA'11 Proceedings of the 10th international conference on Advances in intelligent data analysis X
Kalman filters and adaptive windows for learning in data streams
DS'06 Proceedings of the 9th international conference on Discovery Science
On detection of changes in sensor data streams
Proceedings of the 9th International Conference on Advances in Mobile Computing and Multimedia
Learning with local drift detection
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Mining delay in streaming time series of industrial process
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Discovery and diagnosis of behavioral transitions in patient event streams
ACM Transactions on Management Information Systems (TMIS)
Adaptively detecting aggregation bursts in data streams
DASFAA'05 Proceedings of the 10th international conference on Database Systems for Advanced Applications
Monitoring abnormal patterns with complex semantics over ICU data streams
IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis
A model for anticipatory event detection
ER'06 Proceedings of the 25th international conference on Conceptual Modeling
Monitoring incremental histogram distribution for change detection in data streams
Sensor-KDD'08 Proceedings of the Second international conference on Knowledge Discovery from Sensor Data
Detecting change via competence model
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
The Journal of Machine Learning Research
Distribution based data filtering for financial time series forecasting
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
Towards a variable size sliding window model for frequent itemset mining over data streams
Computers and Industrial Engineering
Sequential change-point detection based on direct density-ratio estimation
Statistical Analysis and Data Mining
Stream-dashboard: a framework for mining, tracking and validating clusters in a data stream
Proceedings of the 1st International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications
Structural and topical dimensions in multi-task patent translation
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Evolving fuzzy pattern trees for binary classification on data streams
Information Sciences: an International Journal
On the hardness of domain adaptation and the utility of unlabeled target samples
ALT'12 Proceedings of the 23rd international conference on Algorithmic Learning Theory
On evaluating stream learning algorithms
Machine Learning
An Efficient Approach for Incremental Association Rule Mining through Histogram Matching Technique
International Journal of Information Retrieval Research
On-line bayesian context change detection in web service systems
Proceedings of the 2013 international workshop on Hot topics in cloud services
Event identification for local areas using social media streaming data
Proceedings of the ACM SIGMOD Workshop on Databases and Social Networks
Examining a Large Keystroke Biometrics Dataset for Statistical-Attack Openings
ACM Transactions on Information and System Security (TISSEC)
A survey on concept drift adaptation
ACM Computing Surveys (CSUR)
Change-point detection with feature selection in high-dimensional time-series data
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Energy-based function to evaluate data stream clustering
Advances in Data Analysis and Classification
The Journal of Machine Learning Research
Concept drift detection via competence models
Artificial Intelligence
Classifying evolving data streams with partially labeled data
Intelligent Data Analysis
Data stream dynamic clustering supported by Markov chain isomorphisms
Intelligent Data Analysis
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Detecting changes in a data stream is an important area of research with many applications. In this paper, we present a novel method for the detection and estimation of change. In addition to providing statistical guarantees on the reliability of detected changes, our method also provides meaningful descriptions and quantification of these changes. Our approach assumes that the points in the stream are independently generated, but otherwise makes no assumptions on the nature of the generating distribution. Thus our techniques work for both continuous and discrete data. In an experimental study we demonstrate the power of our techniques.