Multilabel classification using heterogeneous ensemble of multi-label classifiers
Pattern Recognition Letters
Interactive visualization for information analysis in medical diagnosis
USAB'11 Proceedings of the 7th conference on Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society: information Quality in e-Health
Decision system based on neural networks to optimize the energy efficiency of a petrochemical plant
Expert Systems with Applications: An International Journal
A proposed IPC-Based clustering and applied to technology strategy formulation
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part II
Multivariate time series classification by combining trend-based and value-based approximations
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part IV
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
On the use of consensus clustering for incremental learning of topic hierarchies
SBIA'12 Proceedings of the 21st Brazilian conference on Advances in Artificial Intelligence
Geo-spotting: mining online location-based services for optimal retail store placement
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Information Technology and Management
Time series symbolization and search for frequent patterns
Proceedings of the Fourth Symposium on Information and Communication Technology
Journal of Information Science
PAAS: Power Aware Algorithm for Scheduling in High Performance Computing
UCC '13 Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
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This book organizes key concepts, theories, standards, methodologies, trends, challenges and applications of data mining and knowledge discovery in databases. It first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. It also gives in-depth descriptions of data mining applications in various interdisciplinary industries.