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 Eugenia G. Giannopoulou - InTech
This book brings together the most recent advances of data mining research in the promising areas of medicine and biology. It consists of seventeen chapters which describe interesting applications, motivating progress and worthwhile results.
by Clinton Gormley, Zachary Tong - 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.
by Saed Sayad - 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.
by Julio Ponce, Adem Karahoca - InTech
This book presents different ways of theoretical and practical advances and applications of data mining in different promising areas. The book will serve as a Data Mining bible to show a right way for the students, researchers and practitioners.