Results 91 to 100 of about 2,316 (204)

A Hybrid Recommendation System Based on Association Rules [PDF]

, 2013
Recommendation systems are widely used in e-commerce applications. Theengine of a current recommendation system recommends items to a particular user based on user preferences and previous high ratings.
Alsalama, Ahmed
core   +1 more source

An Incremental High-Utility Mining Algorithm with Transaction Insertion

The Scientific World Journal, 2015
Association-rule mining is commonly used to discover useful and meaningful patterns from a very large database. It only considers the occurrence frequencies of items to reveal the relationships among itemsets.
Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, Binbin Zhang   +3 more
doaj   +1 more source

RESEARCH ISSUES CONCERNING ALGORITHMS USED FOR OPTIMIZING THE DATA MINING PROCESS [PDF]

In this paper, we depict some of the most widely used data mining algorithms that have an overwhelming utility and influence in the research community. A data mining algorithm can be regarded as a tool that creates a data mining model.
Alexandru Pîrjan, Ion Lungu
core  

Mining high utility sequential patterns [PDF]

, 2015
University of Technology Sydney. Faculty of Engineering and Information Technology.Sequential pattern mining refers to the identification of frequent subsequences in sequence databases as patterns.
Yin, J
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Mining High Utility Itemsets Using Bio-Inspired Algorithms: A Diverse Optimal Value Framework

IEEE Access, 2018
Mining high utility itemsets (HUI) is an interesting research problem in the field of data mining and knowledge discovery. Recently, bio-inspired computing has attracted considerable attention, leading to the development of new algorithms for mining HUIs.
Wei Song, Chaomin Huang
doaj   +1 more source

High utility-itemset mining and privacy-preserving utility mining

Perspectives in Science, 2016
SummaryIn recent decades, high-utility itemset mining (HUIM) has emerging a critical research topic since the quantity and profit factors are both concerned to mine the high-utility itemsets (HUIs). Generally, data mining is commonly used to discover interesting and useful knowledge from massive data. It may, however, lead to privacy threats if private
Lin, Jerry Chun-Wei, Gan, Wensheng, Fournier-Viger, Philippe, Yang, Lu, Liu, Qiankun, Frnda, Jaroslav, Sevcik, Lukas, Voznak, Miroslav   +7 more
openaire   +1 more source

Efficient High Utility Itemset Mining using Utility Information Record

International Journal of Computer Applications, 2015
High utility itemsets refer to the sets of items with high utility like profit in a database, and efficient mining of high utility itemsets plays an important role in many real life applications and is an important research issue in data mining area. In recent years, the problems of high utility pattern mining become one of the most important research ...
P. C. Gill, S. R. Chaudhari, Prashant V.Barhate   +2 more
openaire   +1 more source

Utility-Based Data Mining Workshop Chairs: [PDF]

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Bianca Zadrozny, Gary Weiss, Maytal Saar-tsechansky   +2 more
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On the Complexity of Rule Discovery from Distributed Data [PDF]

This paper analyses the complexity of rule selection for supervised learning in distributed scenarios. The selection of rules is usually guided by a utility measure such as predictive accuracy or weighted relative accuracy. Other examples are support and
Scholz, Martin
core  

High Utility Itemset Mining Using Transaction Utility of Itemsets

KIPS Transactions on Software and Data Engineering, 2015
Serin Lee, Jong Soo Park
openaire   +2 more sources