Results 251 to 260 of about 16,307,830 (290)
Some of the next articles are maybe not open access.
A Visualizer for High Utility Itemset Mining
2014 IEEE 17th International Conference on Computational Science and Engineering, 2014Mining 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
openaire +1 more source
Mining summarization of high utility itemsets
Knowledge-Based Systems, 2015Mining interesting itemsets from transaction databases has attracted a lot of research interests for decades. In recent years, high utility itemset (HUI) has emerged as a hot topic in this field. In real applications, the bottleneck of HUI mining is not at the efficiency but at the interpretability, due to the huge number of itemsets generated by the ...
Xiong Zhang, Zhi-Hong Deng 0001
openaire +1 more source
High Utilizers of Psychiatric Emergency Services
Psychiatric Services, 2005The purpose of this study was to examine the sociodemographic and clinical characteristics of high utilizers of psychiatric emergency services.Data were collected over four years for 761 patients who were identified as high utilizers according to three definitions (two standard deviations above the mean number of visits to an urban psychiatric ...
Jagoda, Pasic +2 more
openaire +2 more sources
2021 International Conference on Data Mining Workshops (ICDMW), 2021
Md. Tanvir Alam +4 more
openaire +2 more sources
Md. Tanvir Alam +4 more
openaire +2 more sources
Mining Discriminative High Utility Patterns
2016Recently, 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 +3 more
openaire +2 more sources
An approach for high utility pattern mining
International Journal of Data Analysis Techniques and Strategies, 2018Mining 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
openaire +1 more source
Heterogeneous k-anonymization with high utility
2015 IEEE International Conference on Big Data (Big Data), 2015Heterogeneous k-anonymization with high ...
Doka, Katerina +5 more
openaire +4 more sources
Diffix: High-Utility Database Anonymization
2017In spite of the tremendous privacy and liability benefits of anonymization, most shared data today is only pseudonymized. The reason is simple: there haven’t been any anonymization technologies that are general purpose, easy to use, and preserve data quality.
Francis, P., Probst Eide, S., Munz, R.
openaire +3 more sources
Mining High Utility Sequences with a Novel Utility Function
2021 13th International Conference on Knowledge and Systems Engineering (KSE), 2021Hanh-Thong Huynh +4 more
openaire +2 more sources
Generalized maximal utility for mining high average-utility itemsets
Knowledge and Information Systems, 2021Wei Song 0004, Lu Liu, Chaomin Huang
openaire +1 more source