Results 71 to 80 of about 2,974 (185)
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
Mining Assocation Rules Using Frequent Closed Itemsets
, 2005 In the domain of knowledge discovery in databases and its computational part called data mining, many works addressed the problem of association rule extraction that aims at discovering relationships between sets of items (binary attributes). An example association rule fitting in the context of market basket data analysis is cereal Ù milk ® sugar ...
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Finding Fuzzy Close Frequent Itemsets from Databases
Procedia Computer Science, 2018 Abstract In this paper, we define the problem of fuzzy close frequent itemset mining to discover the rules of the data. A concise tree-based data synoposis named FCTree is built, where the fuzzy itemsets are sorted by their supports. In addition, an algorithm called FCFIMiner is proposed to construct and maintain the FCTree . We conduct superset
Haifeng Li +3 more
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Reconstructing thicket clump formation using association rules analysis
Journal of Vegetation Science, Volume 35, Issue 3, May/June 2024.Association rules (or market basket) analysis was effective in eliciting common associations between species and size classes across different stages of thicket clump formation in a savanna. Vachellia karroo established alone in open grassland, whereas a suite of clump‐initiating species recruited in close association with large V.
Rhys Nell +2 more
wiley +1 more source
IET Intelligent Transport Systems, Volume 18, Issue 3, Page 517-527, March 2024.Abstract This study aims to explore the relationship between traffic flow states and crash type/severity in the scenarios of normal crashes, primary crashes, and secondary crashes using the association rules mining approach. The crash data and real‐time traffic data were collected from the I‐880 freeway for five years in California, USA.
Bo Yang +4 more
wiley +1 more source
DLLog: An Online Log Parsing Approach for Large‐Scale System
International Journal of Intelligent Systems, Volume 2024, Issue 1, 2024.Syslog is a critical data source for analyzing system problems. Converting unstructured log entries into structured log data is necessary for effective log analysis. However, existing log parsing methods demonstrate promising accuracy on limited datasets, but their generalizability and precision are uncertain when applied to diverse log data ...
Hailong Cheng +4 more
wiley +1 more source
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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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.
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A Comparative Study of Frequent Pattern Mining with Trajectory Data. [PDF]
Sensors (Basel), 2022 Ding S, Li Z, Zhang K, Mao F.
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Efficient Top-K Identical Frequent Itemsets Mining without Support Threshold Parameter from Transactional Datasets Produced by IoT-Based Smart Shopping Carts. [PDF]
Sensors (Basel), 2022 Rehman SU +4 more
europepmc +1 more source