Zobrazeno 1 - 10
of 577
pro vyhledávání: '"K-optimal pattern discovery"'
Autor:
Unil Yun, Gangin Lee
Publikováno v:
Soft Computing. 22:4267-4273
Various data mining methods have been proposed to handle large-scale data and discover interesting knowledge hidden in the data. Maximal frequent pattern mining is one of the data mining techniques suggested to solve the fatal problem of traditional
Autor:
Dr.Chhavi Rana, Tarika Verma
Publikováno v:
International Journal of Engineering and Technology. 9:351-354
Autor:
Mohammad Karim Sohrabi, Reza Roshani
Publikováno v:
Computers in Human Behavior. 68:244-253
A core issue of the association rule extracting process in the data mining field is to find the frequent patterns in the database of operational transactions. If these patterns discovered, the decision making process and determining strategies in org
Publikováno v:
The Journal of Supercomputing. 72:4296-4318
Various large-scale data have been generated in a variety of application fields, since the Internet began to be widely used. Accordingly, researchers have developed various data mining methods for pervasive human-centric computing to deal with the da
Publikováno v:
International Journal of u- and e- Service, Science and Technology. 9:197-202
The extraction of similar features based on quality is called pattern discovery to the huge number of terms, phrases and noise. Identifying the better pattern discovery is the major problem to extract the accurate information from the text documents
Publikováno v:
Vietnam Journal of Computer Science, Vol 3, Iss 4, Pp 235-245 (2016)
Recently, association rule mining plays a vital role in knowledge discovery in database. In fact, in most cases, the real datasets lead to a very large number of rules, which do not allow users to make their own selection of the most relevant. The di
Publikováno v:
Reviews in Theoretical Science. 4:159-164
Autor:
Yun Sing Koh, Sri Devi Ravana
Publikováno v:
ACM Transactions on Knowledge Discovery from Data. 10:1-29
Association rule mining was first introduced to examine patterns among frequent items. The original motivation for seeking these rules arose from need to examine customer purchasing behaviour in supermarket transaction data. It seeks to identify comb
Autor:
Hemant Kumar Soni, Manoj Kumar
Publikováno v:
International Journal of Engineering Research in Africa. 23:120-130
Association rule mining is an iterative and interactive process of discovering valid, novel, useful, understandable and hidden associations from the massive database. The Colossal databases require powerful and intelligent tools for analysis and disc
Publikováno v:
IEEE Access, Vol 4, Pp 4922-4932 (2016)
Time series analysis is an important data mining task in areas such as the stock market and petroleum industry. One interesting problem in knowledge discovery is the detection of previously unknown frequent patterns. With the existing types of patter