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
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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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3) E-Commerce safety and risk mitigations
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