Benefits and Challenges of Using Data Mining Techniques

摘要

For long time companies have recognized the need for multidimensional analysis, decision support systems for data mining and knowledge discovery from large data sets. Companies use their multiyear historical data for various analysis and data from a variety of other heterogeneous sources available on the Internet. Different profiles of users explore the data for analysis in order to make decision before the others. In current environments systems support for managerial decision-making requires accuracy and clarity in the problem presentation and intelligence in the right selection of data relevant to the specific problem. The positive aspects of decision support systems, techniques that can improve operations and problems that may arise related to the security of data and information in such environment will be presented. Several different case studies will be discuss in other to explore and present all benefits for decision support using different techniques such as collaborative filtering and trust based clustering. Beside benefits, data mining and application of different tools and techniques bring many challenges. Through presentation some of these issues will be discussed, and possible ways to mitigate them without undermining expected results will be proposed.