Addressing the problems of data-centric physiology-affect relations modeling
Proceedings of the 15th international conference on Intelligent user interfaces
Proceedings of the 19th international conference on World wide web
FlowRank: ranking NetFlow records
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
Efficiency issues of evolutionary k-means
Applied Soft Computing
IPADE: iterative prototype adjustment for nearest neighbor classification
IEEE Transactions on Neural Networks
IFS-CoCo in the landscape contest: description and results
ICPR'10 Proceedings of the 20th International conference on Recognizing patterns in signals, speech, images, and videos
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
International Journal of Learning Technology
Candidate document retrieval for web-scale text reuse detection
SPIRE'11 Proceedings of the 18th international conference on String processing and information retrieval
RW.KNN: a proposed random walk KNN algorithm for multi-label classification
Proceedings of the 4th workshop on Workshop for Ph.D. students in information & knowledge management
Expert Systems with Applications: An International Journal
Test-data volume optimization for diagnosis
Proceedings of the 49th Annual Design Automation Conference
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
Instance-Ranking: a new perspective to consider the instance dependency for classification
PAKDD'12 Proceedings of the 2012 Pacific-Asia conference on Emerging Trends in Knowledge Discovery and Data Mining
Analysis of data complexity measures for classification
Expert Systems with Applications: An International Journal
A Twitter-based smoking cessation recruitment system
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Information Technology and Management
On the doubt about margin explanation of boosting
Artificial Intelligence
Evolutionary k-means for distributed data sets
Neurocomputing
Data stream mining for predicting software build outcomes using source code metrics
Information and Software Technology
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Identifying some of the most influential algorithms that are widely used in the data mining community, this volume provides a description of each algorithm, discusses the impact of the algorithms, and reviews current and future research on the algorithms. Thoroughly evaluated by independent reviewers, each chapter focuses on a particular algorithm and is written by either the original authors of the algorithm or world-class researchers who have extensively studied the respective algorithm. The book concentrates on the following important algorithms: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART.