Book contain Concept Data Mining overview, Data Warehouse and OLAP Technology,Data Warehouse Architecture, Stepsfor the Design and Construction of Data Warehouses, A Three-Tier Data WarehouseArchitecture,OLAP,OLAP queries, metadata repository,Data Preprocessing – Data Integration and Transformation, Data Reduction,Data Mining Primitives:What Defines a Data Mining Task? Task-Relevant Data, The Kind of Knowledge to be Mined,KDD. What Is Cluster Analysis, Types of Data in Cluster Analysis,A Categorization of Major Clustering Methods, Classical Partitioning Methods: k-Meansand k-Medoids, Partitioning Methods in Large Databases: From k-Medoids to CLARANS, Hierarchical Methods, Agglomerative and Divisive Hierarchical Clustering,Density-BasedMethods, Wave Cluster: Clustering Using Wavelet Transformation, CLIQUE:Clustering High-Dimensional Space, Model-Based Clustering Methods, Statistical Approach,Neural Network Approach.
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Dr. Bhavana S. Karmore, Prof. Vishwajit K. Barbudhe, Prof. Shraddha N. Zanjat
Prof. V. K. Barbudhe working as Professor at Jagadambha college of Engineering and Technology for UG and PG Department of Electronics and Telecommunication Engineering . Total Years of Experience 11+ . He publish more than 50+ Papers in International Journals . He work as International Expert at International Conferences . He worked as a Editorial Board Members in 15+ International Journals and Reviewer in 100+ International Journals and International Conferences . Project Guided 10+ PG students and 50+ UG Students . He publish more than 140+ Books on Electronics and Computer Engineering Subject.
