Abstract:

Data mining refers to extracting or mining knowledge from large amount of data. It helps in discovering the frequent patterns. This knowledge can be help in making business decisions conventional data mining techniques were proposed to be in efficient, the source of data is incremental in nature and also they need to be re executed every time which in turn multiple database scans.

In this paper, we propose a novel data structure called CATS Tree to suit for continuously growing data sets, based on association rule mining with in ....etc

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Please post the project on above topic.  Please help me.
Thankyou. Indira ....etc

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Many data mining techniques have been proposed for mining useful patterns in text documents. However, how to effectively use and update discovered patterns is still an open research issue, especially in the domain of text mining. Since most existing text mining methods adopted term-based approaches, they all suffer from the problems of polysemy and synonymy. Over the years, people have often held the hypothesis that pattern (or phrase)-based approaches should perform better than the term-based ones, but many experiments do not support this hypo ....etc

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Hey! I am doing the project on PREFIX BASED FAST MINING IN CLOSED SEQUENTIAL PATTERNS.. Can anybody assist me by giving the complete source code of the project and base paper... I need it.. Please send me page link where can i dwnld it... ....etc

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The Application of Stream Data Time-Series Pattern Reliance Mining in Stock Market Analysis

With the rapid development of computer information technology, a new data model-the stream data emerged. The stream data is coming continuously, quickly, changing with time, and may be unpredictable and unlimited in the way. The emergence of stream data has brought new challenges from the nature ofthe data applied to static database technology and data mining technology. At present, the stream data has been widely used in telecommunications, financial ....etc

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Clustering and Sequential Pattern Mining of Online Collaborative Learning Data



Abstract:
Group work is widespread in education. The growing use of online tools supporting group work generates huge amounts of data. We aim to exploit this data to support mirroring: presenting useful high-level views of information about the group, together with desired patterns characterizing the behavior of strong groups. The goal is to enable the groups and their facilitators to see relevan ....etc

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I want to complete up my evs project so i need some helps i want 1) objectives 2) importance 3)proposed methodology 4) observation 5) analysis 6) description of method 7) conclusion ....etc

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Please post the project on above topic.  Please help me.
Thankyou. Indira ....etc

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Abstract:
Frequent pattern mining is a heavily researched area in the field of data mining
with wide range of applications. One of them is to use frequent pattern discovery methods
in Web log data. Discovering hidden information from Web log data is called Web usage
mining. The aim of discovering frequent patterns in Web log data is to obtain information
about the navigational behavior of the users. This can be used for advertising purposes, for
creating dynamic user profiles etc. In this paper three pattern mining approaches are ....etc

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Abstract—Many data mining techniques have been proposed for mining useful patterns in text documents. However, how to effectively use and update discovered patterns is still an open research issue, especially in the domain of text mining. Since most existing text mining methods adopted term-based approaches, they all suffer from the problems of polysemy and synonymy. Over the years, people have often held the hypothesis that pattern (or phrase)-based approaches should perform better than the term-based ones, but many experiments do not suppor ....etc

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