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Air pollution macro-regions identification using machine learning and spatio-temporal analysis. [PDF]
PLoS OneMorawiec T +3 more
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Missing value replacement in strings and applications. [PDF]
Data Min Knowl DiscovBernardini G +6 more
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Dilemma and coping strategies of news communication based on artificial intelligence and big data. [PDF]
HeliyonZhou W.
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Up Approach: Mining High Utility Itemsets
International Journal of Computer & Orgnanization Trends, 2014Now a days high utility item sets specially from large transaction databases is required task to process many day to day operations in quick time. In many relevant algorithms presented those are surface the problem of generating large number of candidate item set and thus degrades the mining performance in terms of execution time and space.
Arshia Sultana, Mrs E.Krishnaveni Reddy
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HARUIM: high average recent utility itemset mining
International Journal of Data Mining, Modelling and ManagementDipti Rana, Mathe John Kenny Kumar
semanticscholar +3 more sources
International Journal of Information Technology & Decision Making, 2010
High utility itemsets mining identifies itemsets whose utility satisfies a given threshold. It allows users to quantify the usefulness or preferences of items using different values. Thus, it reflects the impact of different items. High utility itemsets mining is useful in decision-making process of many applications, such as retail marketing and Web ...
YING LIU +4 more
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High utility itemsets mining identifies itemsets whose utility satisfies a given threshold. It allows users to quantify the usefulness or preferences of items using different values. Thus, it reflects the impact of different items. High utility itemsets mining is useful in decision-making process of many applications, such as retail marketing and Web ...
YING LIU +4 more
openaire +3 more sources
Cumulative Summary List Driven Lightweight Frequent Closed High Utility Itemset Mining
2023 2nd International Conference for Innovation in Technology (INOCON), 2023Pattern mining has always been a dominant approach in data mining to identify the object(s) of interest from a humongous large data space to make real-time decisions.
S. Siva, S. Chaudhari
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Third IEEE International Conference on Data Mining, 2004
Traditional association rule mining algorithms only generate a large number of highly frequent rules, but these rules do not provide useful answers for what the high utility rules are. We develop a novel idea of top-K objective-directed data mining, which focuses on mining the top-K high utility closed patterns that directly support a given business ...
null Raymond Chan +2 more
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Traditional association rule mining algorithms only generate a large number of highly frequent rules, but these rules do not provide useful answers for what the high utility rules are. We develop a novel idea of top-K objective-directed data mining, which focuses on mining the top-K high utility closed patterns that directly support a given business ...
null Raymond Chan +2 more
openaire +1 more source
Analyzing the Health Data: An Application of High Utility Itemset Mining
2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT), 2023A data science endeavour called "high utility pattern mining" entails finding important patterns based on different factors like profit, frequency, and weight. High utility itemsets are among the various patterns that have undergone thorough study. These
K. Padmavathi +2 more
semanticscholar +1 more source