Clustering analysis, viewed as a kind of unsupervised learning, is a fundamental means of data granulation, and information compression. It is also an important tool and method in machine learning and data mining research. There have been a lot of clustering algorithms developed in the data mining research community. Interesting applications of clustering can be
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Since 1990s, with the development of the information technology and productivity, the global market competitions become increasingly fierce. Customer’s demands become more and more personalized. The importance of the supplier evaluation and selection becomes more and more outing in the supply chain management. To an enterprise, how to make the mutual cooperation, win-win situation when
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ABSTRACT:Condition-monitoring and Fault-diagnosing of equipment is a kind of technology whose destination is to figure out and master the condition during serving process and then to monitor abnormal state and judge the class of fault. The team author belongs to has worked with the Zhungeer open pit coal mine, Shenhua Group on project of diagnosing
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Information capacity is an effective indicator evaluating the image quality, because it has to reflect the relationship between adjacent pixels and consistent with human vision. On the other hand, the remote sensing images of the characteristics and texture structures in different landforms type area are closely related to information capacity, so in this paper, author
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Search Engine is a hot topic nowadays in the Internet world. The work to evaluate a Search Engine can be traced back to the Information Retrieval Framework based on the concept of the”Precision and Recall”that Kent invented in 1955 and upon which the Evaluation Scheme that was brought forward by the British Cranfiled Project. Up
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Bioinformatics have become a popular research field due to the development of science and technology. As the accomplishment of the Human Genome Sequencing Project, the number of sequences and bases has increased in the form of exponent in the three main databases of nuclear acid GenBank、EMBL and DDBJ. Thus, it is a necessary part to
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Text clustering plays an important role in data mining and machine learning. Thetechnology has developed greatly and produced a series of achivements in theory.K-means algorithm is one of the classic text clustering algorithms. Due to its low timecomplexity, it has been widely used in the field of text clustering. The paper studies thekey technology and
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Text clustering plays an important role in data mining and machine learning. Thetechnology has developed greatly and produced a series of achivements in theory.K-means algorithm is one of the classic text clustering algorithms. Due to its low timecomplexity, it has been widely used in the field of text clustering. The paper studies thekey technology and
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In recent years, with the development of computer network technology and application, Web services, as a new kind of business application pattern, is widely applied to many websites because it has the advantages of open system, flexible structure, platform-independent, easy design and low-cost. As Web services technology progresses, many Web service entities with the same
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Set-valued information systems are generalized models of single-valued information systems.Knowledge reduction is one of the hot research topics of rough set theory. Therefore, we proposeattribute reductions of set-valued information systems, which is an important research directionin generalized models of Pawlak rough set.This paper is based on rough sets,in the partial order of binary relation,we present
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