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PKDD
2010
Springer
172views Data Mining» more  PKDD 2010»
14 years 8 months ago
Surprising Patterns for the Call Duration Distribution of Mobile Phone Users
How long are the phone calls of mobile users? What are the chances of a call to end, given its current duration? Here we answer these questions by studying the call duration distri...
Pedro O. S. Vaz de Melo, Leman Akoglu, Christos Fa...
AAAI
1997
14 years 11 months ago
Template-Based Information Mining from HTML Documents
Tools for mining information from data can create added value for the Internet. As the majority of electronic documents available over the network are in unstructured textual form...
Jane Yung-jen Hsu, Wen-tau Yih
SDM
2009
SIAM
192views Data Mining» more  SDM 2009»
15 years 7 months ago
Mining Cohesive Patterns from Graphs with Feature Vectors.
The increasing availability of network data is creating a great potential for knowledge discovery from graph data. In many applications, feature vectors are given in addition to g...
Arash Rafiey, Flavia Moser, Martin Ester, Recep Co...
ICDM
2007
IEEE
196views Data Mining» more  ICDM 2007»
15 years 4 months ago
Diagnosing Similarity of Oscillation Trends in Time Series
Sensor networks have increased the amount and variety of temporal data available, requiring the definition of new techniques for data mining. Related research typically addresses...
Leonardo E. Mariote, Claudia Bauzer Medeiros, Rica...
ADMA
2010
Springer
264views Data Mining» more  ADMA 2010»
14 years 8 months ago
Frequent Pattern Trend Analysis in Social Networks
Abstract. This paper describes an approach to identifying and comparing frequent pattern trends in social networks. A frequent pattern trend is defined as a sequence of time-stampe...
Puteri N. E. Nohuddin, Rob Christley, Frans Coenen...