Data mining and machine learning must confront the problem of pattern maintenance because data updating is a fundamental operation in data management. Most existing data-mining alg...
SeismoSpin is a novel interactive instrument designed around a “Disc-Jockey/mixer” metaphor that gives seismologists a quick and powerful way to explore earthquake data. The c...
Mark McKelvin, Ragnhild Nestande, Leticia Valdez, ...
New applications of data mining, such as in biology, bioinformatics, or sociology, are faced with large datasets structured as graphs. We present an efficient algorithm for minin...
The primary constraint in the effective mining of data streams is the large volume of data which must be processed in real time. In many cases, it is desirable to store a summary...
Probabilistic models of sentence comprehension are increasingly relevant to questions concerning human language processing. However, such models are often limited to syntactic fac...