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» Active Sampling for Knowledge Discovery from Biomedical Data
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DIS
2007
Springer
14 years 2 months ago
Literature-Based Discovery by an Enhanced Information Retrieval Model
The massive, ever-growing literature in life science makes it increasingly difficult for individuals to grasp all the information relevant to their interests. Since even experts’...
Kazuhiro Seki, Javed Mostafa
ICPR
2010
IEEE
14 years 1 months ago
Motif Discovery and Feature Selection for CRF-Based Activity Recognition
Abstract—Due to their ability to model sequential data without making unnecessary independence assumptions, conditional random fields (CRFs) have become an increasingly popular ...
Liyue Zhao, Xi Wang, Gita Sukthankar
SDM
2010
SIAM
156views Data Mining» more  SDM 2010»
13 years 10 months ago
Unsupervised Discovery of Abnormal Activity Occurrences in Multi-dimensional Time Series, with Applications in Wearable Systems
We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
Alireza Vahdatpour, Majid Sarrafzadeh
FGCS
2007
106views more  FGCS 2007»
13 years 8 months ago
Distributed data mining services leveraging WSRF
The continuous increase of data volumes available from many sources raises new challenges for their effective understanding. Knowledge discovery in large data repositories involv...
Antonio Congiusta, Domenico Talia, Paolo Trunfio
AMINING
2003
Springer
245views Data Mining» more  AMINING 2003»
14 years 1 months ago
Spiral Mining Using Attributes from 3D Molecular Structures
Active responses from experts play an essential role in the knowledge discovery of SAR (structure activity relationships) from drug data. Experts often think of hypotheses, and the...
Takashi Okada, Masumi Yamakawa, Hirotaka Niitsuma