Logo

Data Mining Desktop Survival Guide

Small book cover: Data Mining Desktop Survival Guide

Data Mining Desktop Survival Guide
by

Publisher: Togaware Pty Ltd
ISBN/ASIN: 0975710923

Description:
Data mining is about building models from data. We build models to gain insights into the world and how the world works. A data miner, in building models, deploys many different data analysis and model building techniques. Our choices depend on the business problems to be solved. Although data mining is not the only approach it is becoming very widely used because it is well suited to the data environments we find in today's enterprises.

Home page url

Download or read it online for free here:
Read online
(online html)

Similar books

Book cover: An Introduction to Data MiningAn Introduction to Data Mining
by - University of Toronto
Data Mining is about explaining the past and predicting the future by means of data analysis. Data mining is a multidisciplinary field which combines statistics, machine learning, artificial intelligence and database technology.
(14458 views)
Book cover: Refining the Concept of Scientific Inference When Working with Big DataRefining the Concept of Scientific Inference When Working with Big Data
- National Academies Press
Using big data analytics to identify complex patterns hidden inside volumes of data that have never been combined could accelerate the rate of scientific discovery and lead to the development of beneficial technologies and products.
(3949 views)
Book cover: Elasticsearch: The Definitive GuideElasticsearch: The Definitive Guide
by - O'Reilly
Whether you need full-text search or real-time analytics of data, this book introduces you to the fundamental concepts required to start working with Elasticsearch. With these foundations laid, it will move on to more-advanced search techniques.
(4721 views)
Book cover: Database FundamentalsDatabase Fundamentals
by - IBM Corporation
This free e-book teaches you the fundamentals of databases, including relational database theory, logical and physical database design, and the SQL language. Advanced topics include using functions, stored procedures and XML.
(16453 views)