P. T. Peter Tang

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High dimensional data is phenomenon in real-world data mining applications. Developing effective clustering methods for high dimensional dataset is a challenging problem due to the curse of dimensionality. Usually k-means clustering algorithm is used but it results in time consuming, computationally expensive and the quality of the resulting clusters(More)
We present a real-time MPEG (Motion Pictures Expert Group) software decoder that uses message-passing libraries such as MPL, p4, and MPI. The parallel MPEG decoder currently runs on the IBM SP system but can be easily ported to other parallel machines. This paper discusses our parallel MPEG decoding algorithm as well as the parallel programming environment(More)
The foremost mission of any information retrieval algorithm is the efficient extraction of user interests. The rapid growth of web data, intense competition and user's option to choose from several alternatives increases this issue. In this context Web usage mining can provide valuable contributions in terms of ideas and methods, as it fissures useful(More)
We present a real-time MPEG (Motion Pictures Expert Group) software decoder that uses message-passing libraries such as MPL, p4, and MPI. The parallel MPEG decoder currently runs on the IBM SP system but can be easily ported to other parallel machines. This paper discusses our parallel MPEG decoding algorithm as well as the parallel programming environment(More)
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