Mikhail L. Zymbler

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Subsequence similarity search is one of the most important problems of time series data mining. Nowadays there is empirical evidence that Dynamic Time Warping (DTW) is the best distance metric for many applications. However in spite of sophisticated software speedup techniques DTW still computationally expensive. There are studies devoted to acceleration of(More)
The problem of time series subsequence matching occurs in a wide spectrum of subject areas. Currently Dynamic Time Warping (DTW) is the best similarity measure but despite various existing speedup techniques it is still computationally expensive. Due to this reason science community is trying to accelerate DTW calculation by means of parallel hardware.(More)
Subsequence similarity search is one of the basic problems of time series data mining. Nowadays Dynamic Time Warping (DTW) is considedered as the best similarity measure. However despite various existing software speedup techniques DTW is still computation-ally expensive. There are approaches to speed up DTW computation by means of parallel hardware (e.g.(More)
The Partition Around Medoids (PAM) is a variation of well known k-Means clustering algorithm where center of each cluster should be chosen as an object of clustered set of objects. PAM is used in a wide spectrum of applications, e.g. text analysis, bioinformatics, intelligent transportation systems, etc. There are approaches to speed up k-Means and PAM(More)
This paper presents an original approach to parallel processing of very large databases by means of encapsulation of partitioned parallelism into open-source database management systems (DBMSs). The architecture and methods for implementing a parallel DBMS through encapsulation of partitioned parallelism into PostgreSQL DBMS are described. Experimental(More)
Video summary is a sequence of still or moving pictures that represents the content of a video. Personalized summary provides a person with brief information reflecting essential message of the video according to his/her interests. Existing methods of discovering user's personal interests often demands from the user either extra efforts or extra equipment,(More)
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