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.
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by C.J. Date, Hugh Darwen - Addison Wesley
This is a book on database management based on an earlier book by the same authors. It can be seen as an abstract blueprint for the design of a DBMS and the language interface to such a DBMS. It serves as a basis for a model of type inheritance.
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.
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.
by E. F. Codd - Addison-Wesley
Written by the originator of the relational model, the book covers the practical aspects of the design of relational databases. The author defines twelve rules that database management systems need to follow in order to be described as relational.