Results 71 to 80 of about 3,021 (185)
AN EFFICIENT ALGORITHM FOR MINING HIGH UTILITY ITEMSETS
Tạp chí Khoa họcHigh utility itemsets (HUIs) mining is the finding of itemsets that satisfy a user-defined minimum utility threshold. Many successful studies in this field have been carried out, however they are all reliant on Tidset techniques, which records the ...
Nguyen Thi Thanh Thuy*, Nguyen Van Le, Manh Thien Ly
doaj +1 more source
AN ADABOOST OPTIMIZED CCFIS BASED CLASSIFICATION MODEL FOR BREAST CANCER DETECTION [PDF]
Journal of Engineering Science and Technology, 2017 Classification is a Data Mining technique used for building a prototype of the data behaviour, using which an unseen data can be classified into one of the defined classes.
CHANDRASEKAR RAVI, NEELU KHARE
doaj
A Mining-Based Compression Approach for Constraint Satisfaction Problems
, 2013 In this paper, we propose an extension of our Mining for SAT framework to Constraint satisfaction Problem (CSP). We consider n-ary extensional constraints (table constraints). Our approach aims to reduce the size of the CSP by exploiting the structure of
Jabbour, Said +2 more
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Data‐Driven Materials Research and Development for Functional Coatings
Advanced Science, Volume 11, Issue 42, November 13, 2024.Functional coatings play a vital role in various industries for their protective and functional properties. However, its design often involves time‐consuming experimentation with multiple materials and processing parameters. To overcome these limitations, data‐driven approaches are gaining traction in materials science. This review provides an overview
Kai Xu +8 more
wiley +1 more source
An efficient closed frequent itemset miner for the MOA stream mining system [PDF]
, 2013 Mining itemsets is a central task in data mining, both in the batch and the streaming paradigms. While robust, efficient, and well-tested implementations exist for batch mining, hardly any publicly available equivalent exists for the streaming scenario ...
Bifet Figuerol, Albert Carles +2 more
core +1 more source
IET Generation, Transmission &Distribution, Volume 18, Issue 13, Page 2313-2324, July 2024.This paper proposes an electric vehicle (EV) load diagnosis algorithm considering data privacy. The validity of the algorithm in this paper is verified by using the real collected EV load data. Abstract Accurate forecasting of electric vehicle (EV) load is essential for grid stability and energy management. EV load forecasting is influenced by multiple
Ruien Bian +3 more
wiley +1 more source
Interpretable heart disease risk prediction via FCA-constrained logistic regression
Health Informatics JournalObjective To develop an interpretable and clinically coherent heart disease risk prediction model by integrating Formal Concept Analysis (FCA) with a novel closure-constrained logistic regression that enforces coefficient coherence within FCA-derived ...
Arman Salehi +3 more
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Grafting for Combinatorial Boolean Model using Frequent Itemset Mining
, 2017 This paper introduces the combinatorial Boolean model (CBM), which is defined as the class of linear combinations of conjunctions of Boolean attributes. This paper addresses the issue of learning CBM from labeled data.
Lee, Taito +2 more
core
An Algorithm of Mining Closed Frequent Itemsets [PDF]
Advances in Computer Science Research, 2016 Closed frequent itemset is a perfect representation of frequent itemset. This paper tries to find an efficient solution to mine the closed frequent itemsets over databases by sampling technique. We employ the SCFI tree to record the data synopsis of the frequent itemsets, and propose an efficient algorithm SCFI to maintain the SCFI.
openaire +1 more source
A Comparative Study of Frequent Pattern Mining with Trajectory Data. [PDF]
Sensors (Basel), 2022 Ding S, Li Z, Zhang K, Mao F.
europepmc +1 more source