There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled “DATA MINING: Foundations and Intelligent Paradigms: Volume 1: Clustering, Association and Classification” we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field.
€149.79
Tabla de materias
Introductory Chapter.- Clustering Analysis in Large Graphs with Rich Attributes.- Temporal Data Mining: Similarity-Profiled Association Pattern.- Bayesian Networks with Imprecise Probabilities: Theory and Application to Classification.- Hierarchical Clustering for Finding Symmetries and Other Patterns in Massive, High Dimensional Datasets.- Randomized Algorithm of Finding the True Number of Clusters Based on Chebychev Polynomial Approximation.- Bregman Bubble Clustering: A Robust Framework for Mining Dense Clusters.- Dep Miner: A method and a system for the extraction of significant dependencies.- Integration of Dataset Scans in Processing Sets of Frequent Itemset Queries.- Text Clustering with Named Entities: A Model, Experimentation and Realization.- Regional Association Rule Mining and Scoping from Spatial Data.- Learning from Imbalanced Data: Evaluation Matters.
Idioma Inglés ● Formato PDF ● Páginas 336 ● ISBN 9783642231667 ● Tamaño de archivo 5.9 MB ● Editor Dawn E. Holmes & Lakhmi C Jain ● Editorial Springer Berlin ● Ciudad Heidelberg ● País DE ● Publicado 2011 ● Descargable 24 meses ● Divisa EUR ● ID 2245141 ● Protección de copia DRM social
Más ebooks del mismo autor / Editor
4.890 Ebooks en esta categoría
