Data Mining Research Topics - PHD TOPIC.
Evaluation results To evaluate our sports data mining approach, we used real-life statistical data from cfbstats.com for past college football games (e.g., regular season college football games between 2005-2006 and 2013-2014) and a number of statistics about each of the teams from each of those games (e.g., passing attempts, rushing attempts, and turnovers for and against).
Recently text mining has become an important research area. Text can be placed in newspaper articles, SMS, mails, on-line chats, journals, product reviews, and organization files. Text mining also known as text data mining, intelligent text analysis or knowledge.
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DATA MINING TOOLS AND TECHNIQUES Understanding the advantages of using different data mining tools and techniques. Vishal Sr. Programmer CyberQ Consulting Pvt. Ltd. New Delhi India -110025. ABSTRACT-Data mining is one of the most applicable areas of research in computer applications among the various types of data mining.
As a part of this research work more than 25 papers has been explored and thoroughly studied. Few papers related to Data Mining in Education: Data Classification and Decision Tree Approach Sonali Agarwal, G. N. Pandey, and M. D. Tiwari 140 International Journal of e-Education, e-Business, e-Management and e-Learning, Vol. 2, No. 2, April 2012.
Data Mining for Education Ryan S.J.d. Baker, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA Introduction Data mining, also called Knowledge Discovery in Databases (KDD), is the field of discovering novel and potentially useful information from large amounts of data. Data mining has been.
In this blog post, I will introduce the topic of data mining.The goal is to give a general overview of what is data mining. What is data mining? Data mining is a field of research that has emerged in the 1990s, and is very popular today, sometimes under different names such as “big data” and “data science“, which have a similar meaning. To give a short definition of data mining, it can.