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A multimodal single-cell framework for ecosystem-level profiling of circulating tumor and non-tumor cells. [PDF]

Exp Hematol Oncol
Felix G, Aguirre F, Zhou L, Denmark A, Alvarez R, Kim DM, Gong J, Hitchins MP.   +7 more
europepmc   +1 more source

Social and emotional learning in artificial agents. [PDF]

Sci Rep
Torres N.
europepmc   +1 more source

Opportunistic mining of top-n high utility patterns

Information Sciences, 2018
© 2018 Elsevier Inc. Mining high utility patterns is an important data mining problem that is formulated as finding patterns whose utilities are no less than a threshold.
Junqiang Liu, Benjamin C M Fung, Jiuyong Li   +2 more
exaly   +4 more sources

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Enhanced Mining of High Utility Patterns from Streams of Dynamic Profit

International Conference on Data Science and Advanced Analytics, 2023
Frequent pattern mining has been extended to the mining of other useful patterns. These include high-utility patterns. Many traditional high-utility mining algorithms focus on algorithmic efficiency when mining high-utility patterns from static databases.
Jiaxing Jason Mai, C. Leung, Connor C. J. Hryhoruk, Adam G. M. Pazdor   +3 more
semanticscholar   +1 more source

A Pre-Large Weighted-Fusion System of Sensed High-Utility Patterns

IEEE Sensors Journal, 2021
Within the current transportation infrastructure, we have seen a steady increase in the use of sensor technologies. These sensors, individually produce large amounts of data that then need to be fused and understood. Data commingling and data integration
Gautam Srivastava, Jerry Chun-Wei Lin, Matin Pirouz, Yuanfa Li, Unil Yun   +4 more
semanticscholar   +1 more source

Targeted Mining of Rare High-Utility Patterns

2022 IEEE International Conference on Big Data (Big Data), 2022
Pattern discovery has been widely studied and applied as a classical problem in data mining. As a subfield of itemset mining, identifying high-utility rare itemsets (HURI) can find abnormal but vital patterns in transaction databases.
Peifeng Zhang, Jiahui Chen, Shicheng Wan, Wensheng Gan   +3 more
semanticscholar   +1 more source

Mining high utility patterns in interval-based event sequences

Data & Knowledge Engineering, 2021
Sequential pattern mining is an interesting research area with broad range of applications. Most prior research on sequential pattern mining has considered point-based data where events occur instantaneously.
S. Mohammad Mirbagheri, Howard J. Hamilton   +1 more
semanticscholar   +1 more source