Results 31 to 40 of about 104,957 (252)
A statistical learning method to fast generalised rule induction directly from raw measurements [PDF]
, 2017 Induction of descriptive models is one of the most important technologies in data mining. The expressiveness of descriptive models are of paramount importance in applications that examine the causality of relationships between variables. Most of the work
Gaber, M. M. +3 more
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Molecular Oncology, EarlyView.CIN85 is highly expressed in osteosarcoma, particularly in metastatic lesions. Its overexpression increases cell migration and Matrigel invasion, while silencing CIN85 suppresses these behaviors. Transcriptome analysis shows that CIN85 regulates MMP2, COL3A1, and Akt/mTOR signaling. Targeting these pathways reverses CIN85‐induced motility, highlighting
Iryna Horak +10 more
wiley +1 more source
Performance analysis of modified algorithm for finding multilevel association rules
, 2013 Multilevel association rules explore the concept hierarchy at multiple levels which provides more specific information. Apriori algorithm explores the single level association rules. Many implementations are available of Apriori algorithm.
Jain, R. C., Shrivastava, Arpna
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FEBS Open Bio, EarlyView.ERα splice variant ERα∆7 lacks the C‐terminus, and its expression may change phenotypes of breast cancers. Our results showed that ERα∆7 is found in the luminal A subtype, and elevated ERα∆7 levels are linked to improved cell survival with lower proliferation and migration.
Long Wai Tsui +10 more
wiley +1 more source
Variable-Length Differential Evolution for Numerical and Discrete Association Rule Mining
IEEE AccessThis paper proposes a variable-length Differential Evolution for Association Rule Mining. The proposed algorithm includes a novel representation of individuals, which can encode both numerical and discrete attributes in their original or absolute ...
Uros Mlakar, Iztok Fister, Iztok Fister
doaj +1 more source
Investigating factors affecting electricity energy consumption using association rules(Case study: Yazd city) [PDF]
کاوشهای جغرافیایی مناطق بیابانیExtended Abstract:1. IntroductionElectricity is an essential input for all production systems and a necessity for all modern families. Hence, relevant energy policies are needed to induce efficient electricity consumption in the residential sector in ...
Alireza Sarsangi Aliabad +4 more
doaj +1 more source
Fuzzy rule-based system applied to risk estimation of cardiovascular patients [PDF]
, 2013 Cardiovascular decision support is one area of increasing research interest. On-going collaborations between clinicians and computer scientists are looking at the application of knowledge discovery in databases to the area of patient diagnosis, based on ...
Bohacik, Jan, Davis, Darryl N.
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Role Of Association Rule Mining In Numerical Data Analysis
, 2012 {"references": ["R. Agrawal; T. Imielinski; A. Swami: Mining Association\nRules Between Sets of Items in Large Databases\", SIGMOD Conference\n1993: 207-216", "Jochen Hipp, Ulrich G\u251c\u255dntzer, and Gholamreza Nakhaeizadeh.\nAlgorithms for association rule mining - A general survey and\ncomparison.
Jagtap, Sudhir +3 more
openaire +1 more source
Digital twins to accelerate target identification and drug development for immune‐mediated disorders
FEBS Open Bio, EarlyView.Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley +1 more source
Interpretations of Association Rules by Granular Computing [PDF]
, 2003 We present interpretations for association rules. We first introduce Pawlak's method, and the corresponding algorithm of finding decision rules (a kind of association rules).
Li, Yuefeng, Zhong, Ning
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