Most data mining algorithms require the setting of many input parameters. Two main dangers of working with parameter-laden algorithms are the following. First, incorrect settings ...
Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) R...
This paper deals with finding outliers (exceptions) in large, multidimensional datasets. The identification of outliers can lead to the discovery of truly unexpected knowledge in ...
Knowledge-based recommender technologies support customers and sales representatives in the identification of appropriate products and services. These technologies are especially ...
Alexander Felfernig, Klaus Isak, Kalman Szabo, Pet...
In a field of research about general reasoning mechanisms, it is essential to have appropriate benchmarks. Ideally, the benchmarks should reflect possible applications of the deve...
Abstract—In this paper, we investigate the problem of maximizing the throughput over a finite-horizon time period for a sensor network with energy replenishment. The finite-horiz...
Shengbo Chen, Prasun Sinha, Ness B. Shroff, Changh...