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» Using and Learning Semantics in Frequent Subgraph Mining
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ICDE
2007
IEEE
169views Database» more  ICDE 2007»
15 years 6 months ago
Mining Personally Important Places from GPS Tracks
The discovery of a person’s personally important places involves obtaining the physical locations for a person’s places that matter to his daily life and routines. This proble...
Changqing Zhou, Nupur Bhatnagar, Shashi Shekhar, L...
IWPC
2002
IEEE
15 years 4 months ago
Mining System-User Interaction Traces for Use Case Models
While code understanding is the primary program comprehension activity, it is quite challenging to recognize the application requirements from code, since they have usually been o...
Mohammad El-Ramly, Eleni Stroulia, Paul G. Sorenso...
LREC
2010
156views Education» more  LREC 2010»
15 years 1 months ago
Learning Subjectivity Phrases missing from Resources through a Large Set of Semantic Tests
In recent years, blogs and social networks have particularly boosted interests for opinion mining research. In order to satisfy real-scale applicative needs, a main task is to cre...
Matthieu Vernier, Laura Monceaux, Béatrice ...
SOFTWARE
2002
14 years 11 months ago
Temporal Probabilistic Concepts from Heterogeneous Data Sequences
We consider the problem of characterisation of sequences of heterogeneous symbolic data that arise from a common underlying temporal pattern. The data, which are subject to impreci...
Sally I. McClean, Bryan W. Scotney, Fiona Palmer
WISE
2005
Springer
15 years 5 months ago
A Web Recommendation Technique Based on Probabilistic Latent Semantic Analysis
Web transaction data between Web visitors and Web functionalities usually convey user task-oriented behavior pattern. Mining such type of clickstream data will lead to capture usag...
Guandong Xu, Yanchun Zhang, Xiaofang Zhou