Name
Affiliation
Papers
DEBPRAKASH PATNAIK
Department of Computer Science|Virginia Tech|Microsoft Research
24
Collaborators
Citations 
PageRank 
29
191
14.89
Referers 
Referees 
References 
440
314
235
Search Limit
100440
Title
Citations
PageRank
Year
Improved multiple sequence alignments using coupled pattern mining10.352013
A general streaming algorithm for pattern discovery.40.412013
Streaming Algorithms for Pattern Discovery over Dynamically Changing Event Sequences30.412012
Parallel Mining of Neuronal Spike Streams on Graphics Processing Units.10.362012
Efficient Episode Mining of Dynamic Event Streams90.522012
Visual exploration of frequent patterns in multivariate time series160.722012
Discovering Life Cycle Assessment Trees from Impact Factor Databases.40.532011
Experiences with mining temporal event sequences from electronic medical records: initial successes and some challenges291.072011
Visualizing Frequent Patterns In Large Multivariate Time Series10.372011
Temporal data mining approaches for sustainable chiller management in data centers80.842011
Discovering excitatory relationships using dynamic Bayesian networks90.522011
Discovering specific cascades in critical care transfer networks00.342010
Towards chip-on-chip neuroscience: fast mining of neuronal spike streams using graphics hardware30.442010
Data mining for modeling chiller systems in data centers60.512010
Visual analysis of frequent patterns in large time series00.342010
Temporal Process Discovery in Many Guises10.352009
Sustainable operation and management of data center chillers using temporal data mining301.572009
Accelerator-Oriented Algorithm Transformation for Temporal Data Mining120.772009
Inferring Dynamic Bayesian Networks using Frequent Episode Mining20.442009
Towards Chip-on-Chip Neuroscience: Fast Mining of Frequent Episodes Using Graphics Processors20.452009
Inferring Neuronal Network Connectivity from Spike Data: A Temporal Datamining Approach150.942008
Inferring neuronal network connectivity from spike data: A temporal data mining approach291.562008
Discovering Patterns in Multi-neuronal Spike Trains using the Frequent Episode Method50.712007
Inferring Neuronal Network Connectivity using Time-constrained Episodes10.382007