نتایج جستجو برای: knowledge mining techniques

تعداد نتایج: 1207915  

2014
Priti Sharma

Data mining is extracts the knowledge/ information from a large amount of data which stores in multiple heterogeneous data base. Knowledge /information are conveying the message through direct or indirect. This paper provides a survey of various data mining techniques. These techniques include association, correlation, clustering and neural network. This research paper also conducts a formal re...

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Data mining, also known as knowledge discovery in database, is the process to discover unknown knowledge from a large amount of data. Text mining is to apply data mining techniques to extract knowledge from unstructured text. Text clustering is one of important techniques of text mining, which is the unsupervised classification of similar documents into different groups. The most important step...

1996
Jiawei Han Yongjian Fu Wei Wang Jenny Chiang Wan Gong Krzysztof Koperski Deyi Li Yijun Lu Amynmohamed Rajan Nebojsa Stefanovic Betty Xia Osmar R. Zaïane

A data mining system, DBMiner, has been developed for interactive mining of multiple-level knowledge in large relational databases. The system implements a wide spectrum of data mining functions, including generalization, characterization, association, classi cation, and prediction. By incorporating several interesting data mining techniques, including attributeoriented induction, statistical a...

1997
Jiawei Han Jenny Chiang Sonny Han Seng Chee Jianping Chen Qing Chen Shan Cheng Wan Gong Micheline Kamber Krzysztof Koperski Gang Liu Yijun Lu Nebojsa Stefanovic Lara Winstone Betty Xia Osmar R. Zaïane Shuhua Zhang Hua Zhu

A data mining system, DBMiner, has been developed for interactive mining of multiple-level knowledge in large relational databases and data warehouses. The system implements a wide spectrum of data mining functions, including characterization, comparison, association, classi cation, prediction, and clustering. By incorporating several interesting data mining techniques, including OLAP and attri...

2015

This paper analysis and criticizes the way of using, functioning the intrusion detection system in data mining. Understanding the techniques. data mining approach such as intrusion detection system using association datasets where as in event correlation data mining method we will maintain. traffic analysis and anomaly intrusion detection systems are needed. log data by using a knowledge discov...

2007
Rathnavel Rajagopal Isabelle Bichindaritz

Knowledge discovery in the form of prototypical cases using advanced data mining techniques Rathnavel Rajagopal Chair of the Supervisory Committee: Asst. Professor Isabelle Bichindaritz Computing and software systems This thesis applies advanced data mining techniques to obtain structured and abstract knowledge structures (or prototypical cases) from clinical data available in a certain medical...

2013
Nada Matta A. Barroso R. Ricciardi Imed Boughzala Jean-Louis Ermine Mohamed Khider

Preserve knowledge, retain know, these are the objectives of a scalable company. The knowledge mapping is graphical techniques which allows preserve and visualize the strategic heritage of the acquired know-how during the years. We use Data mining techniques to exploit the different sources of data and to improve the process of acquiring this knowledge. In this paper, we present a new knowledge...

2005
Jie Xu

Contemporary organizations live in an environment of networks: internally, they manage the networks of employees, information resources, and knowledge assets to enhance productivity and improve efficiency; externally, they form alliances with strategic partners, suppliers, buyers, and other stakeholders to conserve resources, share risks, and gain market power. Many managerial and strategic dec...

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