With the continuous developments of real estates and increasing personalization people, more house owners are willing to search for discover their preferred decorative art patterns via various decoration cases sharing websites or platforms. Through browsing analyzing existing on Web, a new owner can find out his her interested patterns; however, above pattern mining discovery process is often t...

The study of inter-annotator agreement in musical pattern annotations has gained increased attention over the past few years. While expert are often taken as reference for evaluating discovery algorithms, relying on just one is not usually sufficient to capture complex relations between patterns. In this paper, we address potential digital annotation tools enable large-scale patterns, by compar...

In the past few years, pattern discovery has been emerging as a generic tool of choice for tackling problems from the computational biology domain. In this presentation, and after defining the problem in its generality, we review some of the algorithms that have appeared in the literature and describe several applications of pattern discovery to problems from computational biology.

Service Discovery is expected to become a crucial application of mobile ad hoc networks (MANETs). A number of existing service discovery protocols is mainly aimed at infrastructure-based and/or 1-hop ad hoc wireless networks. In this paper, we propose a novel mechanism using hierarchical grid architectures for service discovery in MANET. The geographic area of MANET is partitioned into 2D logic...

--The Quest for knowledge has led to new discoveries and invention. That leads to amelioration of various technologies. As years passed World Wide Web became overloaded with information and it became hard to retrieve data according to the need .Web mining came as a violence to provide solution of above problem. Web usage mining is category of web mining. Web usage mining mainly circulation with...

In data mining and knowledge discovery, for finding the significant correlation among events Pattern discovery (PD) is used. PD typically produces an overwhelming number of patterns. Since there are too many patterns, it is difficult to use them to further explore or analyze the data. To address the problems in Pattern Discovery, a new method that simultaneously clusters the discovered patterns...