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ICDM
2007
IEEE
133views Data Mining» more  ICDM 2007»
14 years 4 months ago
Topical N-Grams: Phrase and Topic Discovery, with an Application to Information Retrieval
Most topic models, such as latent Dirichlet allocation, rely on the bag-of-words assumption. However, word order and phrases are often critical to capturing the meaning of text in...
Xuerui Wang, Andrew McCallum, Xing Wei
ICDM
2002
IEEE
162views Data Mining» more  ICDM 2002»
14 years 3 months ago
Recognition of Common Areas in a Web Page Using Visual Information: a possible application in a page classification
Extracting and processing information from web pages is an important task in many areas like constructing search engines, information retrieval, and data mining from the Web. Comm...
Milos Kovacevic, Michelangelo Diligenti, Marco Gor...
APCCM
2006
13 years 11 months ago
On the suitability of UML 2.0 activity diagrams for business process modelling
UML is posited as the "swiss army knife" for systems modelling and design activities. It embodies a number of modelling formalisms that have broad applicability in captu...
Nick Russell, Wil M. P. van der Aalst, Arthur H. M...
TSDM
2000
151views Data Mining» more  TSDM 2000»
14 years 1 months ago
Identifying Temporal Patterns for Characterization and Prediction of Financial Time Series Events
The novel Time Series Data Mining (TSDM) framework is applied to analyzing financial time series. The TSDM framework adapts and innovates data mining concepts to analyzing time ser...
Richard J. Povinelli
ISMIS
2009
Springer
14 years 4 months ago
Novelty Detection from Evolving Complex Data Streams with Time Windows
Abstract. Novelty detection in data stream mining denotes the identification of new or unknown situations in a stream of data elements flowing continuously in at rapid rate. This...
Michelangelo Ceci, Annalisa Appice, Corrado Loglis...