FPGA implementations of data mining algorithms

Abstract

In recent decades there has been an exponential growth in quantity of collected data. Various data mining procedures have been developed to extract information from such large amounts of data. Handling ever increasing amount of data generates increasing demand for computing power. There are several ways of dealing with this demand, such as multiprocessor systems, and use of graphic processing units (GPU). Another way is use of field programma ....etc

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M. Phil entire thesis report on classification or clustering in data mining is required.
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Hi, I am planning to do my MPhil (and subsequently PhD too) in computer applications. I would like to know what kinds of topics are there to choose from the below
1) Data mining and relation to social engineering
2) Social engineering and risks
3) E-Commerce safety and risk mitigations
4) Data transformation and XML
5) Electronic data interchange using XML
6) Data management for MIS

If anyone can help me with the background on these topics and where I can find materials (to read / download) it will really be helpful.

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In a previous post, I wrote about the top 10 data mining algorithms, a paper that was published in Knowledge and Information Systems. The selective process is the same as the one that has been used to identify the most important (according to answers of the survey) data mining problems. The paper by Yang and Wu has been published (in 2006) in the International Journal of Information Technology & Decision Making. The paper contains the following problems (in no specific order):
Developing a unifying theory of data mining
Scaling up for high ....etc

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To get full information or details of computer science data mining please have a look on the pages

http://seminarsprojects.net/Thread-data-mining-in-a-library

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