Results 261 to 270 of about 39,003 (306)

Utilizing Algorithms for Decision Mining Discovery

35 th Bled eConference Digital Restructuring and Human (Re)action, 2022
Organizations are executing operational decisions in fast changing environments, which increases the necessity for managing these decisions adequately. Information systems store information about such decisions in decision- and event logs that could be used for analyzing decisions.
Matthijs Berkhout, Koen Smit
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The utility of linguistic rules in opinion mining

Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, 2007
Online product reviews are one of the important opinion sources on the Web. This paper studies the problem of determining the semantic orientations (positive or negative) of opinions expressed on product features in reviews. Most existing approaches use a set of opinion words for the purpose. However, the semantic orientations of many words are context
Xiaowen Ding, Bing Liu 0001
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Utilization of Biowaste for Mine Spoil Rehabilitation

2016
Globally, around 0.4 × 10 km area of land is estimated to be disturbed by mining activities, thereby contributing to severe environmental consequences including the generation of large amounts of mine spoils. The shortfall in topsoil due to poor striping practices and low levels of organic matter have been identified as common problems in ...
Wijesekara, H., Bolan, N. S., Kirkham, M. B., Saint, C., Surapaneni, A., Vithanage, M., Xu, Y., Mandal, S., Brown, S. L., Hettiarachchi, G. M., Pierzynski, G. M., Huang, L., Ok, Y. S.   +12 more
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Vertical mining for high utility itemsets

2012 IEEE International Conference on Granular Computing, 2012
Recently, high utility itemsets mining becomes one of the most important research issues in data mining due to its ability to consider different profit values for every item. In the past studies, most algorithms generate high utility itemsets from a set of transactions in horizontal data format.
Wei Song 0004, Yu Liu, Jinhong Li
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Mining high average-utility itemsets

2009 IEEE International Conference on Systems, Man and Cybernetics, 2009
The average utility measure is adopted in this paper to reveal a better utility effect of combining several items than the original utility measure. A mining algorithm is then proposed to efficiently find the high average-utility itemsets. It uses the summation of the maximal utility among the items in each transaction including the target itemset as ...
Tzung-Pei Hong, Cho-Han Lee, Shyue-Liang Wang   +2 more
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Mining Discriminative High Utility Patterns

2016
Recently, many approaches for high utility pattern mining (HUPM) have been proposed, but most of them aim at mining high-utility patterns (HUPs) instead of frequent ones. The major drawback is that any combination of a low-utility item with a very high utility pattern is regarded as a HUP, even if this combination is infrequent and contains items that ...
Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong   +3 more
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An approach for high utility pattern mining

International Journal of Data Analysis Techniques and Strategies, 2018
Mining high utility pattern has become prominent as it provides semantic significance (utility/weighted patterns) associated with items in a transaction. Data analysis and respective strategies for mining high utility patterns is important in real world scenarios.
Dutta Borah Malaya, Rajni Jindal
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Mining High Utility Subgraphs

2021 International Conference on Data Mining Workshops (ICDMW), 2021
Md. Tanvir Alam, Amit Roy, Chowdhury Farhan Ahmed, Md. Ashraful Islam 0001, Carson K. Leung   +4 more
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Mining Minimal High-Utility Itemsets

2016
Mining high-utility itemsets HUIs is a key data mining task. It consists of discovering groups of items that yield a high profit in transaction databases. A major drawback of traditional high-utility itemset mining algorithms is that they can return a large number of HUIs. Analyzing a large result set can be very time-consuming for users.
Philippe Fournier-Viger, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng, Usef Faghihi   +4 more
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A Visualizer for High Utility Itemset Mining

2014 IEEE 17th International Conference on Computational Science and Engineering, 2014
Mining high utility item sets is one of the most important research issues in data mining owing to its ability to consider nonbinary frequency values of items in transactions and different profit values for each item. Although several studies have been carried out, current methods present the mined results in the form of textual lists for users, which ...
Wei Song 0004, Mingyuan Liu
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