Intelligent Information Processing II : Ifip Tc12/Wg12.3 International Conference on Intelligent Information Processing (Iip2004) October 21-23, 2004, Beijing, China

Qing He

ISBN 10: 038723151X / ISBN 13: 9780387231518

Editore: Springer Us Okt 2004, 2004

Riguardo questo articolo

Neuware - Data Mining is the process of posing queries and extracting useful information, patterns and trends previously unknown from large quantities of data [Thu, 00]. It is the process where intelligent tools are applied in order to extract data patterns [JM, 01]. This encompasses a number of different technical approaches, such as cluster analysis, learning classification and association rules, and finding dependencies. Agents are defined as software entities that perform some set of tasks on behalf of users with some degree of autonomy. This research work deals about developing a automated data mining system which encompasses the familiar data mining algorithms using intelligent agents in object oriented databases and proposing a framework. Because the data mining system uses the intelligent agents, a new user will be able to interact with the data mining system without much data mining technical knowledge. This system will automatically select the appropriate data mining technique and select the necessary field needed from the database at the appropriate time without expecting the users to specify the specific technique and the parameters. Also a new framework is proposed for incorporating intelligent agents with automated data mining. One of the major goals in developing this system is to give the control to the computer for learning automatically by using intelligent agents.

Codice articolo 9780387231518

Dati bibliografici

• Titolo: Intelligent Information Processing II : Ifip Tc12/Wg12.3 International Conference on Intelligent Information Processing (Iip2004) October 21-23, 2004, Beijing, China
• Editore: Springer Us Okt 2004
• Data di pubblicazione: 2004
• Lingua: Inglese
• ISBN 10: 038723151X
• ISBN 13: 9780387231518
• Rilegatura: Buch
• Condizione: Neu
• Dimensioni: 245 L x 164 A x 32 P (millimetri) 245 millimetri di larghezza per 164 millimetri di altezza per 32 millimetri di profondità
• Peso: 970 grammi

Descrizione articolo

Riassunto

Data Mining is the process of posing queries and extracting useful information, patterns and trends previously unknown from large quantities of data [Thu, 00]. It is the process where intelligent tools are applied in order to extract data patterns [JM, 01]. This encompasses a number of different technical approaches, such as cluster analysis, learning classification and association rules, and finding dependencies. Agents are defined as software entities that perform some set of tasks on behalf of users with some degree of autonomy. This research work deals about developing a automated data mining system which encompasses the familiar data mining algorithms using intelligent agents in object oriented databases and proposing a framework. Because the data mining system uses the intelligent agents, a new user will be able to interact with the data mining system without much data mining technical knowledge. This system will automatically select the appropriate data mining technique and select the necessary field needed from the database at the appropriate time without expecting the users to specify the specific technique and the parameters. Also a new framework is proposed for incorporating intelligent agents with automated data mining. One of the major goals in developing this system is to give the control to the computer for learning automatically by using intelligent agents.

Dalla quarta di copertina

This book is based on IIP2004, which provides a forum for engineers and scientists in academia, university and industry to present their latest research findings in any aspect of intelligent information processing. Papers on intelligence science, intelligent agents, machine learning, and autonomic computing, as well as papers that highlight bioinformatics, e-commerce, and business intelligence were presented. IIP2004 meets the needs of a large and diverse community.