Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
There is an emerging trend in post-genome biology to study the collection of thousands of protein interaction pairs (protein interactome) derived from high-throughput experiments....
Even though "providing insight" has been considered one of the main purposes of information visualization (InfoVis), we feel that insight is still a not-well-understood ...
Ji Soo Yi, Youn ah Kang, John T. Stasko, Julie A. ...
This paper presents a semantic space profiler for parallel functional programs. Building on previous work in sequential profiling, our tools help programmers to relate runtime res...
Daniel Spoonhower, Guy E. Blelloch, Robert Harper,...