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Mining Techniques and Pattern Discovery.

Brand Switching Pattern Discovery by Data Mining Techniques for the Telecommunication Industry in Australia

Brand Switching Pattern Discovery by Data Mining Techniques for the Telecommunication Industry in Australia

... data mining techniques to discover some knowledge, but they used only contractual data available with the service provider and did not carry out any data collection through ...knowledge discovery was ...

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A Survey on Web Log Mining Pattern Discovery

A Survey on Web Log Mining Pattern Discovery

... for mining e-learning data step by step as well as how to apply the main data mining techniques used, such as statistics, visualization, classification, clustering, association rule mining, ...

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Data Mining of Web Access Logs Using Classification Techniques

Data Mining of Web Access Logs Using Classification Techniques

... data mining techniques were used. These techniques were classification, association rules, clustering and attribute ...A pattern discovery task for one of these data mining ...

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Web Usage Mining: Web log Pre-processing and Online Visitor's frequent Pattern Discovery

Web Usage Mining: Web log Pre-processing and Online Visitor's frequent Pattern Discovery

... Usage Mining (WUM) is one of the data mining techniques to discover the knowledge or information apparent in the web log file, such as user access patterns from web log data and for analyzing ...

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Improved Inner Pattern Evolution Mechanism for Accurate & Efficient Text Mining

Improved Inner Pattern Evolution Mechanism for Accurate & Efficient Text Mining

... data mining techniques have been proposed for mining useful patterns in text ...that pattern (or phrase)-based approaches should perform better than the term-based ones, but many experiments ...

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Effectively user pattern discover and 
		classification from web log database

Effectively user pattern discover and classification from web log database

... usage mining process, which is optional in much web usage mining ...[8] Pattern discovery is the key process of web mining which includes grouping of users based on similarities in ...

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NEW APPROACH IN COLOR DISTORTION REDUCTION IN UNDERWATER CORAL REEF COLOR IMAGE 
ENHANCEMENT BASED ON ESTIMATION ABSORPTION USING EXPONENTIAL EQUATION

NEW APPROACH IN COLOR DISTORTION REDUCTION IN UNDERWATER CORAL REEF COLOR IMAGE ENHANCEMENT BASED ON ESTIMATION ABSORPTION USING EXPONENTIAL EQUATION

... text mining domain in spite of having many existed data mining ...existed techniques with our new method called pattern discovery ...that pattern based methods will perform ...

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Evaluation and analysis of discovered 
		patterns using pattern classification methods in text mining

Evaluation and analysis of discovered patterns using pattern classification methods in text mining

... data mining techniques like association rule mining, frequent item set mining, sequential pattern mining, maximum pattern mining, and closed pattern ...

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Pattern Discovery in Hydrological Time Series Data Mining during the Monsoon Period of the High Flood Years in Brahmaputra River Basin

Pattern Discovery in Hydrological Time Series Data Mining during the Monsoon Period of the High Flood Years in Brahmaputra River Basin

... data mining techniques, the analysis is carried out in hydrological daily discharge time series of the Panchratna station in the river Brahmaputra under Brahmaputra and Barak Basin Organization in ...the ...

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Preprocessing Techniques in Web Usage Mining: A Survey

Preprocessing Techniques in Web Usage Mining: A Survey

... usage mining is one of the application of data mining which is used to mine of log files to discover useful patterns which can be further exploited in better personalization, improving navigations, ...

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A STUDY OF MINING WEB INTELLIGENT INFORMATION

A STUDY OF MINING WEB INTELLIGENT INFORMATION

... content mining examines the content of the web as well as the result of the ...content mining and Search result mining. Web page Content mining is a traditional search of web page via content ...

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Refined Pattern Discovery Model for Text Mining

Refined Pattern Discovery Model for Text Mining

... process, pattern evolution and pattern deployment, is included in this ...system. Pattern evolution refers to the process of updating ambiguous ...of pattern taxonomy model is invoked ...the ...

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A Survey on Web Mining In E-Commerce: Pattern Discovery, Issues and Applications

A Survey on Web Mining In E-Commerce: Pattern Discovery, Issues and Applications

... data mining techniques are becoming more useful to generate and understand unknown customer ...data mining has been used to find out which products are related in terms of having maximum buy and also ...

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Impressive pattern discovery to provide Effective   Output through Text Mining

Impressive pattern discovery to provide Effective Output through Text Mining

... data mining techniques have been proposed for mining useful patterns in text ...text mining. Since most existing text mining methods adopted term-based approaches, they all suffer from ...

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Mining Effective Patterns From Text Data- A Survey

Mining Effective Patterns From Text Data- A Survey

... Feature Discovery model suffers to perform when less training data is available to assess the quality of ...[5] Pattern co-occurrence matrix is also used in another approach to solve low- frequency ...

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Pattern Discovery in Text Mining Using Text Patterns and Clustering

Pattern Discovery in Text Mining Using Text Patterns and Clustering

... Our contribution is the use of dimension reduction techniques. Dimension reduction refers to the procedure of converting a set of data having vast dimensions into data with low dimensions ensuring that it conveys ...

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Duo Mining Techniques in Knowledge Discovery Process in Data Base

Duo Mining Techniques in Knowledge Discovery Process in Data Base

... Data mining is the exploration and analysis of large data sets, in order to discover meaningful pattern and ...data mining is to design and work efficiently with large data ...Data mining is ...

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Emerging pattern mining to aid toxicological knowledge discovery

Emerging pattern mining to aid toxicological knowledge discovery

... data mining method to assist knowledge base developers in identifying substructural features associated with toxic e ff ects which can be used to expedite the process of forming new structural ...subgraph ...

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Agent based Detecting Abnormal and Dynamic Coupled Behavior in Customer Relationship System use of Combined- Interestingness based Architecture

Agent based Detecting Abnormal and Dynamic Coupled Behavior in Customer Relationship System use of Combined- Interestingness based Architecture

... and techniques for incorporating ubiquitous intelligence into the data mining process and systems to enhance actionable knowledge ...by mining logs in a ...by mining trade transaction ...

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AN OVERVIEW OF DATA MINING TECHNIQUES AND THEIR APPLICATION IN INDUSTRIAL ENGINEERING

AN OVERVIEW OF DATA MINING TECHNIQUES AND THEIR APPLICATION IN INDUSTRIAL ENGINEERING

... Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database ...data mining including the concepts behind what it ...

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