Theory and Applications for Advanced Text Mining
by Shigeaki Sakurai (ed.)
Publisher: InTech 2012
ISBN-13: 9789535108528
Number of pages: 218
Description:
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.
Download or read it online for free here:
Download link
(10MB, PDF)
Similar books
Data Mining Algorithms In R- Wikibooks
Data mining comprises techniques and algorithms, for determining interesting patterns from large datasets. There are currently hundreds algorithms that perform tasks such as frequent pattern mining, clustering, and classification, among others.
(21508 views)
Database Systems and Structuresby Osmar R. Zaiane - Simon Fraser University
An introduction to data models, database systems, the structure and use of relational database systems and relational languages, indexing and storage management, query processing in relational databases, and the theory of relational database design.
(18790 views)
Readings in Database Systemsby J. M. Hellerstein, M. Stonebraker - UC Berkeley
These lecture notes provide students and professionals with a grounding in database research and a technical context for understanding recent innovations in the field. The readings included treat the most important issues in the database area.
(20932 views)
Data Modeling Techniques for Data Warehousingby Chuck Ballard, et al. - IBM Redbooks
It covers data modeling techniques for data warehousing, within the context of the overall data warehouse development process. The process of data warehouse modeling, including the steps required before and after the actual modeling, is discussed.
(25029 views)