Results 151 to 160 of about 2,727,391 (196)

Mining High-Utility Itemsets with Multiple Minimum Utility Thresholds

Proceedings of the Eighth International C* Conference on Computer Science & Software Engineering - C3S2E '15, 2008
High-utility itemset mining (HUIM) is an emerging topic in data mining. It consists of discovering high-utility itemsets (HUIs), i.e. groups of items (itemsets) that generate a high profit in transactional databases. Several algorithms have been proposed for this task.
Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong   +3 more
openaire   +1 more source

Mining High Utility Sequential Patterns Using Multiple Minimum Utility

International Journal of Pattern Recognition and Artificial Intelligence, 2018
High utility sequential patterns (HUSP) mining has recently received a lot of attention from researchers. Many algorithms have been proposed to mine HUSP and most of them only use a single minimum utility, which implicitly assumes that all items in the database are of the same importance (such as profit), or other information based on users’ concern ...
Tiantian Xu, Jianliang Xu, Xiangjun Dong
openaire   +1 more source

Efficient high utility itemset mining using buffered utility-lists

Applied Intelligence, 2017
Discovering high utility itemsets in transaction databases is a key task for studying the behavior of customers. It consists of finding groups of items bought together that yield a high profit. Several algorithms have been proposed to mine high utility itemsets using various approaches and more or less complex data structures. Among existing algorithms,
Quang-Huy Duong, Philippe Fournier-Viger, Heri Ramampiaro, Kjetil Nørvåg, Thu-Lan Dam   +4 more
openaire   +1 more source

High Utilizing als gemeindepsychiatrische Gemeinschaftsleistung

Psychiatrische Praxis, 2002
The following report describes Mr. Z., who was a former long-term hospitalized psychiatric patient and who turned from a permanent inpatient into a high utilizer of a hospital in a process of several years. In addition the report describes the commitment and often unconventional ways of cooperation by different staff and institutions, that made it ...
Konrad Bauer, Sabine Eikermann, Christian Grothaus, Renate Lühr, Susanne Müller   +4 more
openaire   +1 more source

Mining High Utility Subgraphs

2021 International Conference on Data Mining Workshops (ICDMW), 2021
Md. Tanvir Alam, Amit Roy, Chowdhury Farhan Ahmed, Md. Ashraful Islam, Carson K. Leung   +4 more
openaire   +1 more source

Mining High Utility Sequential Patterns Using Maximal Remaining Utility

2018
Mining high utility sequential pattern is an interesting problem in data mining. In this paper, we propose a new algorithm called high utility sequential pattern mining based on maximal remaining utility (HUSP-MRU). In HUSP-MRU, the maximal remaining utility (MRU) is defined as tighter upper bound of candidates.
Wei Song, Keke Rong
openaire   +1 more source

Utility Analysis of High Resolution

1995
Abstract : This report summarizes the results of two studies conducted to address specific issues related to the utility of a specific high resolution multispectral sensor, designated the F sensor. The first study assessed the validity of a sensor model, entitled the Performance Prediction Model (PPM), which was provided by the sensor contractor.
James M. Jacobs, Michael T. Eismann, Michael F. Reiley, Garth L. Gerber   +3 more
openaire   +1 more source

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
openaire   +1 more source

High-Utility Itemset Mining

2022
V. Jeevika Tharini, B.L. Shivakumar
openaire   +1 more source

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
openaire   +1 more source