Theory and Applications for Advanced Text Mining
by Shigeaki Sakurai (ed.)
Publisher: InTech 2012
Number of pages: 218
Text mining techniques are studied aggressively in order to extract the knowledge from the data. This book is composed of 9 chapters introducing advanced text mining techniques. They are various techniques from relation extraction to under or less resourced language.
Home page url
Download or read it online for free here:
by S. Yuan, A.Z. Abidin, M. Sloan, J. Wang - arXiv
A comprehensive survey on Internet advertising, discussing the research issues, identifying the recent technologies, and suggesting its future directions. We start with a brief history, introduction, and classification of the industry.
by Tom Jewett
This text is a teaching resource for an introductory database class at California State University Long Beach, Department of Computer Engineering and Computer Science. It is also designed to be used as an individual self-study tutorial.
by Arno Jan Knobbe - IOS Press
This thesis is concerned with Data Mining: extracting useful insights from large collections of data. With the increased possibilities in modern society for companies and institutions to gather data, this subject has become of increasing importance.
by Ron Zacharski - GuideToDatamining.com
Before you is a tool for learning basic data mining techniques. If you are a programmer interested in learning a bit about data mining you might be interested in a beginner's hands-on guide as a first step. That's what this book provides.