Results 31 to 40 of about 102,603 (200)
Parallel Algorithm for Frequent Itemset Mining on Intel Many-core Systems [PDF]
, 2018 Frequent itemset mining leads to the discovery of associations and correlations among items in large transactional databases. Apriori is a classical frequent itemset mining algorithm, which employs iterative passes over database combining with generation
Zymbler, Mikhail
core +3 more sources
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
core +1 more source
Observations on Factors Affecting Performance of MapReduce based Apriori on Hadoop Cluster
, 2017 Designing fast and scalable algorithm for mining frequent itemsets is always being a most eminent and promising problem of data mining. Apriori is one of the most broadly used and popular algorithm of frequent itemset mining.
Garg, Rakhi +2 more
core +1 more source
Buletin Al-Turas, 2018 Language syllabus can be defined as a general outline of the language teaching program which guides a teacher what to teach and how to teach in a language program. It, of course, should consist of the approach to apply, materials to teach, the techniques
Muhammad Farkhan
doaj +1 more source
Responsive Materials, EarlyView.Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen +8 more
wiley +1 more source
Consumer Customs Analysis Using the Association Rule and Apriori Algorithm for Determining Sales Strategies in Retail Central [PDF]
E3S Web of Conferences, 2019 The sustainability of a company will not be separated from the role of consumers in conducting transactions. In fact, a consumer has different behaviour and character, therefore as a company owner must be able to analyze the patterns or habits of ...
Mujianto Ahmad Heru +3 more
doaj +1 more source
Data Mining technique: Application of Apriori algorithm for road accident analysis
Ho Chi Minh City Open University Journal of Science - Engineering and Technology, 2023 Road accidents can happen due to various factors. These factors that contribute to road accidents have cost damage to properties, injuries or deaths and most road accidents are attributable to the lack of knowledge on road safety. To provide safe driving
Ryan Clifford Larraquel Perez
doaj +1 more source
Finding Association Rules by Direct Estimation of Likelihood Ratios
, 2017 In this paper, we propose a cost function that corresponds to the mean square errors between estimated values and true values of conditional probability in a discrete distribution. We then obtain the values that minimize the cost function.
Kawakami, Kento +4 more
core +1 more source
AI-BASED RESUME SKILLS EXTRACTOR AND RECOMMENDER MODULES FOR STATE UNIVERSITY HUMAN RESOURCE ANALYTICS SYSTEM [PDF]
Proceedings on Engineering SciencesThis quantitative-developmental research primordially seeks to develop two artificial intelligence (AI) agents, namely Skills Extractor and Job Recommender AI Agents, that will be involved in the skills extraction from a portable document format resumé ...
Paul Nigel S. Abalos , Thelma D. Palaoag
doaj +1 more source
Optimization of Associative Knowledge Graph using TF-IDF based Ranking Score
Applied Sciences, 2020 This study proposes the optimization method of the associative knowledge graph using TF-IDF based ranking scores. The proposed method calculates TF-IDF weights in all documents and generates term ranking.
Hyun-Jin Kim +2 more
doaj +1 more source