Maintenance of Discovered High Average-Utility Itemsets in Dynamic Databases
نویسندگان
چکیده
منابع مشابه
Mining Long High Utility Itemsets in Transaction Databases
Although support has been used as a fundamental measure to determine the statistical importance of an itemset, it can’t express other richer information such as quantity sold, unit profit, or other numerical attributes. To overcome the shortcoming, utility is used to measure the semantic importance and several algorithms for utility mining have been proposed. However, existing algorithms for ut...
متن کاملAn efficient algorithm to mine high average-utility itemsets
With the ever increasing number of applications of data mining, high-utility itemset mining (HUIM) has become a critical issue in recent decades. In traditional HUIM, the utility of an itemset is defined as the sum of the utilities of its items, in transactions where it appears. An important problem with this definition is that it does not take itemset length into account. Because the utility o...
متن کاملA Projection-Based Approach for Discovering High Average-Utility Itemsets
GUO-CHENG LAN, TZUNG-PEI HONG AND VINCENT S. TSENG Department of Computer Science and Information Engineering Institute of Medical Informatics National Cheng Kung University Tainan, 701 Taiwan E-mail: [email protected]; [email protected] Department of Computer Science and Information Engineering National University of Kaohsiung Kaohsiung, 811 Taiwan Department of Computer Science and E...
متن کاملMining High Average-Utility Itemsets with an Indexed Projection Technique
An itemset in traditional utility mining only considers individual profits and quantities of items in transactions but not its itemset length. The average-utility measure, which is the total utility of an itemset divided by its number of items within it, was then proposed to reveal a better utility effect than the original utility one. However, their proposed approach was based on the principle...
متن کاملA Survey on Mining High Utility Itemsets from Transactional Databases
Mining high utility itemsets from a transactional database refers to the discovery of itemsets with high utility like profits. Frequent itemset mining (FIM) is one of the most fundamental problems in data mining. In this work, we propose a novel strategy based on the analysis of item co-occurrences to reduce the number of join operations that need to be performed (FHM: Faster High-Utility Miner...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Applied Sciences
سال: 2018
ISSN: 2076-3417
DOI: 10.3390/app8050769