Stock Image
Image Not Available

Data Warehousing and Data Mining for GTU (VII-IT-2008 Course)

Manmohan Singh

ISBN 10: 9350387832 / ISBN 13: 9789350387832
Published by Technical Publications 0
New Condition: New Soft cover
From BookVistas (New Delhi, DELHI, India)

AbeBooks Seller Since November 24, 2010

Quantity Available: > 20

Buy New
Price: US$ 4.75 Convert Currency
Shipping: US$ 4.77 From India to U.S.A. Destination, Rates & Speeds
Add to basket

30 Day Return Policy

About this Item

Introduction to Data Warehousing Why reporting and analyzing data, Raw data to valuable information - Lifecycle of data - What is data warehousing - The building blocks : Defining features - Data warehouses and data marts - Overview of the components - Metadata in the data warehouse - Need for data warehousing - Basic elements of data warehousing - Trends in data warehousing. Introduction to Data Mining Motivation for data mining - Data mining : On what kind of data ? - Definition and functionalities : What kind of patterns can be mined ? - Classification of DM systems - Integration of a data mining system with a database or a data warehouse - Issues in DM - KDD process. Data Preprocessing and Data Mining Primitived Why preprocess the data ? Data cleaning - Data integration and transformation - Data reduction - Discretization and concept hierarchy generation - Data mining primitives : What defines a data mining task ? Concept Description and Association Rule Mining What is concept description ? Data generalization and summarization - Based characterization - Attribute relevance - Class comparisons association rule mining : Market basket analysis - Basic concepts - Finding frequent item sets : Apriori algorithm - Generating rules - Improved Apriori algorithm - Incremental ARM - Associative classification - Rule mining. Classification and Clustering What is classification and prediction ? - Issues regarding classification and prediction : Classification methods : Decision tree, Bayesian classification, Rule based, CART, Neural network, CBR, Rough set approach, Fuzzy logic, Genetic algorithms - Prediction methods : Linear and non linear regression, Logistic regression - What is cluster analysis ? - Types of data in cluster analysis - A categorization of major clustering methods, Types of clustering algorithms. Advance Topics of Data Mining and its Applications Mining time - Series and sequence data - Mining text databases - Mining the World Wide Web - Data mining application. Printed Pages: 216. Bookseller Inventory # 95547

Ask Seller a Question

Bibliographic Details

Title: Data Warehousing and Data Mining for GTU (...

Publisher: Technical Publications 0

Binding: Softcover

Book Condition:New

Store Description

Visit Seller's Storefront

Terms of Sale:

All books are new. We accept payments by the following methods:

  1. Credit Card: Visa, MasterCard, or American Express.
  2. PayPal.
  3. Bank Draft or Banker's Cheque.
  4. Bank/Wire Transfer.

Cheques may be made payable to BookVistas.

Books are shipped by DHL, FedEx, Aramex, Registered Air Mail, or Registered SAL (Surface Air
Lifted).


Shipping Terms:

Shipping costs are based on books weighing 2.2 LB, or 1 KG. If your book order is heavy or oversized, we may contact you to let you know extra shipping is required.

List this Seller's Books

Payment Methods
accepted by seller

Visa Mastercard American Express

PayPal Bank Draft Bank/Wire Transfer