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ICDM
2010
IEEE
217views Data Mining» more  ICDM 2010»
14 years 7 months ago
Discovering Temporal Features and Relations of Activity Patterns
An important problem that arises during the data mining process in many new emerging application domains is mining data with temporal dependencies. One such application domain is a...
Ehsan Nazerfard, Parisa Rashidi, Diane J. Cook
ICDM
2002
IEEE
159views Data Mining» more  ICDM 2002»
15 years 2 months ago
O-Cluster: Scalable Clustering of Large High Dimensional Data Sets
Clustering large data sets of high dimensionality has always been a serious challenge for clustering algorithms. Many recently developed clustering algorithms have attempted to ad...
Boriana L. Milenova, Marcos M. Campos
141
Voted
GAMEON
2009
14 years 7 months ago
Analysis of User Trajectories Based on Data Distribution and State Transition: a Case Study with a Massively Multiplayer Online
At present, trajectory data, series of coordinate data traversed by moving objects, can be readily obtained due to the advent of positioning technologies. Clustering of trajectori...
Ruck Thawonmas, Junichi Oda, Kuan-Ta Chen
BMCBI
2006
138views more  BMCBI 2006»
14 years 9 months ago
Determination of strongly overlapping signaling activity from microarray data
Background: As numerous diseases involve errors in signal transduction, modern therapeutics often target proteins involved in cellular signaling. Interpretation of the activity of...
Ghislain Bidaut, Karsten Suhre, Jean-Michel Claver...
88
Voted
SDM
2010
SIAM
156views Data Mining» more  SDM 2010»
14 years 11 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