m phil thesis in datamining and datawarehousing

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Title: m phil thesis topics in computer science in mobile computing Page Link: m phil thesis topics in computer science in mobile computing - Posted By: nirjhar520 Created at: Thursday 17th of August 2017 06:30:09 AM	m phil commerce thesis free download, list of m phil thesis topics in computer science, bharathiar university m phil thesis topics in computer science networking, m phil thesis topics in commerce marketing, mobile application development computer science seminar topics in android ios, download m phil thesis format in computer science in bharathiar university, latest topics for m phil thesis in computer science under data mining,
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PRIST University is a deemed university in the town of Vallam, Thanjavur district, Tamil Nadu, India.It offers Under Graduate and Post Graduate courses in Engineering, Science, Education, Management and Arts, including Research programmes.Ponnaiyah Ramajayam Institutions is a group of colleges in Tamil Nadu. It began with an Institute of Computer Science and Technology founded in 1985 by Prof. P. Murugesan. At that time, his very purpose of starting that institute was to introduce Computer Education for the first time in Thanjavur District. In ....etc [:=Read Full Message Here=:]



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Neural Networks are well known for their ability to selectively explore the solution space of a given problem. This feature finds a natural niche of application in the field of cryptanalysis. At the same time, Neural Networks offer a new approach to attack ciphering algorithms based on the principle that any function could be reproduced by a neural network, which is a powerful proven computational tool that can be used to find the inverse-function of any cryptographic algorithm. The ideas of mutual learning, self learning, and stochastic beh ....etc [:=Read Full Message Here=:]


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Suggested Topics for M. Phil's Research Thesis in Commerce 1) A study of humor appeal in Advertising 2) A study of fear and emotional appeal in the ad 3) Changing model of demand for electronic banking services 4) Implication of ICT in business education 5) A study of commodity prices and volatility in MCX 6) Critical analysis of the net asset value of certain mutual funds based on risk, yield and volatility 7) A study of the application of the HR score card in a particular organization 8) A study of inventory management practices in ....etc [:=Read Full Message Here=:]
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good topics depend on what you're interested in and what you do well. Do your own research into what interests you. Find and interesting problem to solve. Or an interesting new way to solve an old problem. Or something similar. And solve it. Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. Data mining tools predict future trends and behaviors, allowing businesses to make ....etc [:=Read Full Message Here=:]
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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. Thanks in adva ....etc [:=Read Full Message Here=:]
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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 [:=Read Full Message Here=:]

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