Clustering is an important data mining problem. However, most earlier work on clustering focused on numeric attributes which have a natural ordering to their attribute values. Rec...
All methods of association rule mining require the frequent sets of items, that occur together sufficiently often to be the basis of potentially interesting rules, to be first com...
Frequent Pattern Mining (FPM) is a very powerful paradigm for mining informative and useful patterns in massive, complex datasets. In this paper we propose the Data Mining Templat...
Mohammed Javeed Zaki, Nilanjana De, Feng Gao, Paol...
The field of Knowledge Management (KM) has already completed its initiatory phase, characterized by operational confusion between knowledge and information, stemming from the tenuo...
In this study, a novel hybrid AI system framework is developed by means of a systematic integration of artificial neural networks (ANN) and rulebased expert system (RES) with web-b...
This paper conducts experiments with three skewed data sets, seeking to demonstrate problems when skewed data is used, and identifying counter problems when data is balanced. The b...
Abstract. Many methodologies have been introduced to deal with project portfolio selection problem including some techniques that help to evaluate individual projects, or to select...