Collaborative activity recognition via check-in history
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location-Based Social Networks
Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
ICADL'11 Proceedings of the 13th international conference on Asia-pacific digital libraries: for cultural heritage, knowledge dissemination, and future creation
On-demand numerosity reduction for object learning
Proceedings of the workshop on Internet of Things and Service Platforms
STPMiner: a highperformance spatiotemporal pattern mining toolbox
Proceedings of the 2nd international workshop on Petascal data analytics: challenges and opportunities
Data mining for student retention management
Journal of Computing Sciences in Colleges
An overview of the use of neural networks for data mining tasks
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
A simple noise-tolerant abstraction algorithm for fast k-NN classification
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
Desiderata for research in web intelligence, mining and semantics
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
Classifying Arabic web pages toolkit
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
A simple methodology for soft cost-sensitive classification
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Interfaces
An adaptive approach to mining frequent itemsets efficiently
Expert Systems with Applications: An International Journal
A new approach for association rule mining and bi-clustering using formal concept analysis
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
Top-N minimization approach for indicative correlation change mining
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
Improving classifier performance by knowledge-driven data preparation
ICDM'12 Proceedings of the 12th Industrial conference on Advances in Data Mining: applications and theoretical aspects
A spatial clustering method for points-with-directions
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Dynamic k-means: a clustering technique for moving object trajectories
International Journal of Intelligent Information and Database Systems
Proceedings of the 18th Brazilian symposium on Multimedia and the web
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Mining of protein contact maps for protein fold prediction
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
A survey on unsupervised outlier detection in high-dimensional numerical data
Statistical Analysis and Data Mining
A new scalable parallel DBSCAN algorithm using the disjoint-set data structure
SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Efficient mining of correlated sequential patterns based on null hypothesis
Proceedings of the 2012 international workshop on Web-scale knowledge representation, retrieval and reasoning
Towards intensional answers to OLAP queries for analytical sessions
Proceedings of the fifteenth international workshop on Data warehousing and OLAP
A general framework to encode heterogeneous information sources for contextual pattern mining
Proceedings of the 21st ACM international conference on Information and knowledge management
Predicting the effectiveness of keyword queries on databases
Proceedings of the 21st ACM international conference on Information and knowledge management
Adapting vector space model to ranking-based collaborative filtering
Proceedings of the 21st ACM international conference on Information and knowledge management
An automatic classification system for consumer regulatory focus by analyzing web shopping logs
Proceedings of the 2012 ACM Research in Applied Computation Symposium
An approach to learning relational probabilistic FO-PCL knowledge bases
SUM'12 Proceedings of the 6th international conference on Scalable Uncertainty Management
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
Mining frequent itemsets in large databases: The hierarchical partitioning approach
Expert Systems with Applications: An International Journal
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part IV
Word level feature discovery to enhance quality of assertion mining
Proceedings of the International Conference on Computer-Aided Design
Wains: A pattern-seeking artificial life species
Artificial Life
Expert Systems with Applications: An International Journal
International Journal of Data Warehousing and Mining
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
Bounds on lengths of real valued vectors similar with regard to the tanimoto similarity
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part I
A Classifier to Detect Tumor Disease in MRI Brain Images
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Bees Swarm Optimization for Web Association Rule Mining
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
A case study of muscle dysmorphia disorder diagnostics
Expert Systems with Applications: An International Journal
REFSQ'13 Proceedings of the 19th international conference on Requirements Engineering: Foundation for Software Quality
Delta score: a novel simplified measurement for digital divide of cities
Proceedings of the 14th Annual International Conference on Digital Government Research
Towards building performance models for data-intensive workloads in public clouds
Proceedings of the 4th ACM/SPEC International Conference on Performance Engineering
A taxonomy of privacy-preserving record linkage techniques
Information Systems
Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery
Proceedings of the 2013 International Conference on Software Engineering
A phrase mining framework for recursive construction of a topical hierarchy
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
KeySee: supporting keyword search on evolving events in social streams
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
A confidence-based filtering method for DDoS attack defense in cloud environment
Future Generation Computer Systems
Quality checking and mining nephrology biopsy data
Proceedings of the 6th Balkan Conference in Informatics
Dependency Extraction from Growth Trajectory using Sequential Pattern
Proceedings of the 13th International Conference on Knowledge Management and Knowledge Technologies
Prediction of movies box office performance using social media
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Proceedings of the 4th Asia-Pacific Workshop on Systems
Proceedings of the 12th International Workshop on Data Mining in Bioinformatics
Constructing a dental implant ontology for domain specific clustering and life span analysis
Advanced Engineering Informatics
Scalable parallel OPTICS data clustering using graph algorithmic techniques
SC '13 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Proposing a Business Model in Healthcare Industry: E-Diagnosis
International Journal of Healthcare Information Systems and Informatics
SMINER - a platform for data mining based on service-oriented architecture
International Journal of Business Intelligence and Data Mining
Healthcare Data Mining: Predicting Hospital Length of Stay PHLOS
International Journal of Knowledge Discovery in Bioinformatics
A compositional paradigm of automating refactorings
ECOOP'13 Proceedings of the 27th European conference on Object-Oriented Programming
On the problem of reversing relational inductive knowledge representation
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
A new hybrid intelligent system for fast neural network training
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II
An optimized method for selection of the initial centers of k-means clustering
IUKM'13 Proceedings of the 2013 international conference on Integrated Uncertainty in Knowledge Modelling and Decision Making
Improving the efficiency of distributed data mining using an adjustment work flow
MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition
An efficient and scalable algorithm for mining maximal
MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition
Discovering frequent itemsets on uncertain data: a systematic review
MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition
Maximum likelihood analysis of conflicting observations in social sensing
ACM Transactions on Sensor Networks (TOSN)
Usage of Fuzzy, Rough, and Soft Set Approach in Association Rule Mining
International Journal of Artificial Life Research
Healthcare Data Mining: Predicting Hospital Length of Stay PHLOS
International Journal of Knowledge Discovery in Bioinformatics
Data Mining Approaches for Geo-Spatial Big Data: Uncertainty Issues
International Journal of Organizational and Collective Intelligence
ABK-means: an algorithm for data clustering using ABC and K-means algorithm
International Journal of Computational Science and Engineering
From Association Analysis to Causal Discovery
Proceedings of Workshop on Machine Learning for Sensory Data Analysis
Improving accuracy of classification models induced from anonymized datasets
Information Sciences: an International Journal
Granular computing for relational data classification
Journal of Intelligent Information Systems
Stock market co-movement assessment using a three-phase clustering method
Expert Systems with Applications: An International Journal
Applied Soft Computing
Aircraft taxi time prediction: Comparisons and insights
Applied Soft Computing
Supervised hybrid feature selection based on PSO and rough sets for medical diagnosis
Computer Methods and Programs in Biomedicine
Modeling observer stress for typical real environments
Expert Systems with Applications: An International Journal
A hybrid intelligent system for medical data classification
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A Roadmap for Designing a Personalized Search Tool for Individual Healthcare Providers
Journal of Medical Systems
Employing heat maps to mine associations in structured routine care data
Artificial Intelligence in Medicine
International Journal of Approximate Reasoning
ACM SIGMOD Record
Identifying user sessions from web server logs with integer programming
Intelligent Data Analysis - Business Analytics and Intelligent Optimization
Evolutionary algorithms using cluster patterns for timetabling
Intelligent Decision Technologies
Subspace clustering of high-dimensional data: an evolutionary approach
Applied Computational Intelligence and Soft Computing
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The increasing volume of data in modern business and science calls for more complex and sophisticated tools. Although advances in data mining technology have made extensive data collection much easier, it's still always evolving and there is a constant need for new techniques and tools that can help us transform this data into useful information and knowledge. Since the previous edition's publication, great advances have been made in the field of data mining. Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets, it also focuses on new, important topics in the field: data warehouses and data cube technology, mining stream, mining social networks, and mining spatial, multimedia and other complex data. Each chapter is a stand-alone guide to a critical topic, presenting proven algorithms and sound implementations ready to be used directly or with strategic modification against live data. This is the resource you need if you want to apply today's most powerful data mining techniques to meet real business challenges. * Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects. * Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields. *Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of real business data