Results 51 to 60 of about 1,895,501 (280)

Mining High Utility Time Interval Sequences Using MapReduce Approach: Multiple Utility Framework

IEEE Access, 2022
Mining high utility sequential patterns is observed to be a significant research in data mining. Several methods mine the sequential patterns while taking utility values into consideration. The patterns of this type can determine the order in which items
Sumalatha Saleti, T. Jaya Lakshmi, Mohd Wazih Ahmad   +2 more
doaj   +1 more source

A two-phase approach to mine short-period high-utility itemsets in transactional databases

, 2017
The discovery of high-utility itemsets (HUIs) in transactional databases has attracted much interest from researchers in recent years since it can uncover hidden information that is useful for decision making, and it is widely used in many domains ...
Philippe Fournier-Viger, Zhang, Jiexiong, Zhang, Ji, Tzung-Pei Hong, Jerry Chun-Wei Lin, Lin, Jerry Chun-Wei, Hong, Tzung-Pei, Ji Zhang, Fournier-Viger, Philippe, Jiexiong Zhang   +9 more
core   +1 more source

Claudin‐6 Protein Expression in Atypical Teratoid/Rhabdoid Tumors Is Strongly Enriched in the Molecular Subgroup AT/RT‐TYR

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Claudin‐6 has emerged as a promising immunotherapeutic target, yet protein‐level data in atypical teratoid/rhabdoid tumors (AT/RTs) have been inconsistent. We analyzed 36 well‐characterized AT/RT samples and found membranous claudin‐6 protein expression in 58% of cases, with striking enrichment in the molecular subgroup AT/RT‐TYR (100%) and ...
Victoria E. Fincke, Christian Thomas, Michael C. Frühwald, Pascal D. Johann, Martin Hasselblatt   +4 more
wiley   +1 more source

Time Toxicity in Wilms Tumor: Quantifying the Burden of Healthcare Interaction in the First Year After Diagnosis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Wilms tumor (WT) treatment imposes a significant time burden on patients and their families. Time toxicity is a patient‐centered metric that quantifies the burden of healthcare interaction. We sought to define time toxicity in the first year after diagnosis of WT and hypothesized that it would increase as tumor stage and treatment ...
Caleb Q. Ashbrook, Veerain Gupta, Nicholas J. Clark, Vijay Rings, Lauren E. Corona, Douglass B. Clayton, Daniel J. Benedetti   +6 more
wiley   +1 more source

Mining High-Utility Patterns in Uncertain Tensors

International Conference on Knowledge-Based Intelligent Information & Engineering Systems, 2018
Transactional datasets are 0/1 matrices, which generically stand for objects having Boolean properties. If every cell of the matrix is additionally associated with a real number called utility, a high-utility itemset relates to a all-ones sub-matrix with
A. Coussat, Nicolas Nadisic, L. Cerf
semanticscholar   +1 more source

Efficiently mining top-K high utility sequential patterns

, 2013
High utility sequential pattern mining is an emerging topic in the data mining community. Compared to the classic frequent sequence mining, the utility framework provides more informative and actionable knowledge since the utility of a sequence indicates
Yin, J, Yin Song, Longbing Cao, Zhigang Zheng, Cao, L, Wei Wei, Song, Y, Wei, W, Zheng, Z, Junfu Yin   +9 more
core   +1 more source

Heterogeneity in the Global Practice of Central Nervous System Staging in Pediatric Acute Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) involvement in childhood acute lymphoblastic leukemia (ALL) is assessed by cell counting and cytomorphology from cerebrospinal fluid (CSF) and is used for treatment stratification worldwide. The ratio of “CNS2” patients in clinical trials ranges from 3% to 40%, with unclear prognostic significance ...
Laura Almási, Bernadett Borbála Huszti, Gábor Barna, Marko Kavcic, Janez Jazbec, Lennart Lenk, Vera Münch, Sophia Polychronopoulou, Ágnes Márk, Maria Thastrup, Lüder H. Meyer, Kjeld Schmiegelow, Cornelia Eckert, Christina Halsey, Dániel J. Erdélyi   +14 more
wiley   +1 more source

EHAUPM: Efficient High Average-Utility Pattern Mining With Tighter Upper Bounds

IEEE Access, 2017
High-utility itemset mining (HUIM) has become a popular data mining task, as it can reveal patterns that have a high-utility, contrarily to frequent pattern mining, which focuses on discovering frequent patterns.
Jerry Chun-Wei Lin, Shifeng Ren, Philippe Fournier-Viger, Tzung-Pei Hong   +3 more
doaj   +1 more source

An Efficient Method for Mining Closed Potential High-Utility Itemsets

IEEE Access, 2020
High-utility itemset mining (HUIM) has become a key phase of the pattern mining process, which has wide applications, related to both quantities and profits of items. Many algorithms have been proposed to mine high-utility itemsets (HUIs).
Bay Vo, Loan T. T. Nguyen, Nguyen Bui, Trinh D. D. Nguyen, Van-Nam Huynh, Tzung-Pei Hong   +5 more
doaj   +1 more source

Data sanitization in association rule mining based on impact factor [PDF]

Journal of Artificial Intelligence and Data Mining, 2015
Data sanitization is a process that is used to promote the sharing of transactional databases among organizations and businesses, it alleviates concerns for individuals and organizations regarding the disclosure of sensitive patterns.
A. Telikani, A. Shahbahrami, R. Tavoli
doaj   +1 more source