Data Mining

ISBN-13: 9786200586032 / Angielski

Bhavana S. Karmore; Vishwajit K. Barbudhe; Shraddha N. Zanjat

Opis

The book contains: Concept Data Mining overview, Data Warehouse and OLAP Technology, Data Warehouse Architecture, Stepsfor the Design and Construction of Data Warehouses, A Three-Tier Data Warehouse Architecture, 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-Based Methods, Wave Cluster: Clustering Using Wavelet Transformation, CLIQUE: Clustering High-Dimensional Space, Model-Based Clustering Methods, Statistical Approach, Neural Network Approach.

O autorze

Karmore, Bhavana S.
Dr. Bhavana S. Karmore is working as a Professor at Shrimati Narsamma Hirayya Shaikshanik Trust Arts, Commerce & Science College, Amravati for U. G. and P. G. Department. Total years of experience 13+. She published more than 20+ papers in International Journals. She worked as International Expert at International Conferences.