Data Extraction of a Novel Method for Clustering Alignment based on Combining Tag and Value Similarity
نویسندگان
چکیده
Clustering is a data mining (machine learning) technique used to place data elements into related groups without advance knowledge of the group definitions. Data Extraction is the process of retrieving data out of data sources. Establishment of an updated method called a novel data extraction and alignment method called CTVS that combines both tag and value similarity enhances the efficiency of the data extraction and alignment. Record alignment algorithm has been introduced in order to perform efficient contemporary alignment method first pair wise and then holistically. Threshold index formula has also been introduced to find the data regions and to perform clustering methods. The applications of this extraction of data records also includes the concept of page ranking in order to speed up the search engine, clustering the similar data regions in order to perform efficient identification of web pages and similar Query result pages and applicable also in data integration and comparison shopping.
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