High Utility Itemset Mining with Top-k CHUD (TCHUD) Algorithm
نویسندگان
چکیده
منابع مشابه
A New Algorithm for High Average-utility Itemset Mining
High utility itemset mining (HUIM) is a new emerging field in data mining which has gained growing interest due to its various applications. The goal of this problem is to discover all itemsets whose utility exceeds minimum threshold. The basic HUIM problem does not consider length of itemsets in its utility measurement and utility values tend to become higher for itemsets containing more items...
متن کاملHigh Utility Itemset Mining
Data Mining can be defined as an activity that extracts some new nontrivial information contained in large databases. Traditional data mining techniques have focused largely on detecting the statistical correlations between the items that are more frequent in the transaction databases. Also termed as frequent itemset mining , these techniques were based on the rationale that itemsets which appe...
متن کاملAn Efficient Algorithm for Mining Closed High Utility Itemset
Mining of High utility itemsets refers to discovering sets of data items that have high utilities. In recent years the high utility itemsets mining has extensive attentions due to the wide applications in various domains like biomedicine and commerce. Extraction of high utility itemsets from database is very problematic task. The formulated high utility itemset degrades the efficiency of the mi...
متن کاملEFIM: A Highly Efficient Algorithm for High-Utility Itemset Mining
High-utility itemset mining (HUIM) is an important data mining task with wide applications. In this paper, we propose a novel algorithm named EFIM (EFficient high-utility Itemset Mining), which introduces several new ideas to more efficiently discovers high-utility itemsets both in terms of execution time and memory. EFIM relies on two upper-bounds named sub-tree utility and local utility to mo...
متن کاملMining the Top - K Frequent Itemset with Minimum Length
......................................................................................................................... iii Acknowledgements ....................................................................................................... iv Dedication....................................................................................................................... v List of Tables ...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2017
ISSN: 0975-8887
DOI: 10.5120/ijca2017913813