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  1. No Access

    Article

    A general streaming algorithm for pattern discovery

    Discovering frequent patterns over event sequences is an important data mining problem. Existing methods typically require multiple passes over the data, rendering them unsuitable for streaming contexts. We pr...

    Debprakash Patnaik, Srivatsan Laxman… in Knowledge and Information Systems (2013)

  2. No Access

    Article

    Parallel Mining of Neuronal Spike Streams on Graphics Processing Units

    Multi-electrode arrays (MEAs) provide dynamic and spatial perspectives into brain function by capturing the temporal behavior of spikes recorded from cultures and living tissue. Understanding the firing patter...

    Yong Cao, Debprakash Patnaik, Sean Ponce… in International Journal of Parallel Programm… (2012)

  3. No Access

    Article

    Discovering excitatory relationships using dynamic Bayesian networks

    Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human–computer interaction modeling. In this ...

    Debprakash Patnaik, Srivatsan Laxman… in Knowledge and Information Systems (2011)

  4. Article

    Open Access

    Learning probabilistic models of connectivity from multiple spike train data

    Debprakash Patnaik, Srivatsan Laxman, Naren Ramakrishnan in BMC Neuroscience (2010)

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  5. No Access

    Chapter and Conference Paper

    Data Mining for Modeling Chiller Systems in Data Centers

    We present a data mining approach to model the cooling infrastructure in data centers, particularly the chiller ensemble. These infrastructures are poorly understood due to the lack of “first principles” model...

    Debprakash Patnaik, Manish Marwah… in Advances in Intelligent Data Analysis IX (2010)