Top 10 algorithms in data mining and research papers 2014.

For example, in data mining research, I have read many papers that proposed some new algorithms, evaluated the algorithms with synthetic data, but did not explain clearly or show what are the real applications of the proposed algorithms. An introduction that omit some relevant related work.

Data mining has made a great progress in recent year but the problem of missing data has remained a great challenge for data mining algorithms. It is an activity of extracting some useful knowledge from a large data base, by using any of its techniques.Data mining is used to discover knowledge out of data and presenting it in a form that is easily understood to humans.

The benefits of investigating the combination of data mining and evolutionary computation in the big data scenario have potential to apply in multiple research disciplines and industries, including transportation, communications, social networks, medical health, and so on.

Data mining is also one of the important application fields of Genetic algorithm. In data mining a Genetic algorithm can be used either to optimize parameters for other kind of data mining algorithms or to discover knowledge by itself. The advantage of Genetic algorithm become more obvious when the search space of a task is large.

For some dataset, some algorithms may give better accuracy than for some other datasets. Besides the classical classification algorithms described in most data mining books (C4.5, etc.), there is a lot of research papers published on these topics.

The Data Mining Blog. For example, for a data mining algorithms, you may introduce some optimizations. To show that the optimizations are good optimizations, a good way is to compare your algorithm with and without the optimizations to show that the optimizations improve the performance.. Top mistakes when writing a research paper — 6.

Data mining algorithm can provide great assistance in the prediction of early-stage breast cancer that always has been challenging research problem. The proposed research will identify the best algorithm that is used to predict the recurrence of the breast cancer and improve the accuracy the algorithms.

Evaluating Boosting Algorithms to Classify Rare Classes: Comparison and Improvements (2001) Mahesh V. Joshi, Vipin Kumar, and Ramesh C. Agrawal, First IEEE International Conference on Data Mining. Mining Needles in a Haystack: Classifying Rare Classes via Two-Phase Rule Induction (2001) Mahesh V. Joshi, Ramesh C. Agrawal, and Vipin Kumar, SIGMOD'01 conference on Management of Data.

DATA MINING: CONCEPTS, BACKGROUND AND METHODS OF INTEGRATING UNCERTAINTY IN DATA MINING Yihao Li, Southeastern Louisiana University Faculty Advisor: Dr. Theresa Beaubouef, Southeastern Louisiana University ABSTRACT The world is deluged with various kinds of data-scientific data, environmental data, financial data and mathematical data.

Data Mining Algorithms in Healthcare Healthcare covers a detailed processes of the diagnosis, treatment and prevention of disease, injury and other physical and mental impairments in humans. The healthcare industry in most countries are evolving at a rapid pace.