IMPLEMENTASI ALGORITMA FP-GROWTH DALAM PENENTUAN POLA HUBUNGAN KECELAKAAN LALU LINTAS
Jurnal Sistem Informasi, 2017 Tingginya jumlah kecelakaan yang terjadi menjadi alasan penting bagi pihak Satuan Lalu Lintas, salah satunya Polresta Pekanbaru untuk mengetahui hubungan antara factor-faktor penyebab kecelakaan.
Rizky Fitria +2 more
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Ontology of core data mining entities [PDF]
, 2014 In this article, we present OntoDM-core, an ontology of core data mining entities. OntoDM-core defines themost essential datamining entities in a three-layered ontological structure comprising of a specification, an implementation and an application ...
Dzeroski, S, Soldatova, L, Panov, P
core +1 more source
Microcephaly measurement in adults and its association with clinical variables
Revista de Saúde Pública, 2022 OBJECTIVE To establish a microcephaly cut-off size in adults using head circumference as an indirect measure of brain size, as well as to explore factors associated with microcephaly via data mining.
Nicole Rezende da Costa +13 more
doaj +1 more source
Data mining for the analysis of content interaction in web-based learning and training systems [PDF]
, 2006 Data mining is based on the detection and extraction of knowledge from a database. Web usage mining is a special form of data mining to address behaviour in Web sites.
Pahl, Claus
core +3 more sources
Pencarian Pola Pemakaian Obat Menggunakan Algoritma FP-Growth
Journal of Applied Informatics and Computing, 2022 Obat‘merupakan sebuah bahan yang digunakan‘untuk mendiagnosis sebuah penyakit yang dapat digunakan untuk pencegahan atau pengobatan penyakit pada manusia atau hewan.
Nikita Salsabila +2 more
doaj +1 more source
Cooperation between expert knowledge and data mining discovered knowledge: Lessons learned [PDF]
, 2012 Expert systems are built from knowledge traditionally elicited from the human expert. It is precisely knowledge elicitation from the expert that is the bottleneck in expert system construction. On the other hand, a data mining system, which automatically
Caraça-Valente Hernández, Juan Pedro +3 more
core +1 more source
A Novel Method of Interestingness Measures for Association Rules Mining Based on Profit
Discrete Dynamics in Nature and Society, 2015 Association rules mining is an important topic in the domain of data mining and knowledge discovering. Some papers have presented several interestingness measure methods; the most typical are Support, Confidence, Lift, Improve, and so forth.
Chunhua Ju +3 more
doaj +1 more source
Potential Determinants of Manual Lifting: Validation of Ergonomic Assessment by Scoping Review Applying Meta-analysis Approach [PDF]
Journal of Clinical and Diagnostic Research, 2022 Introduction: Despite automation, manual load lifting is unavoidable in occupations like industry, healthcare, defence, etc. Ergonomics studies on manual lifting conducted across the globe explored few aspects of biomechanical and physiological responses.
Kiran Mondal +4 more
doaj +1 more source
Weka: A machine learning workbench for data mining [PDF]
, 2005 The Weka workbench is an organized collection of state-of-the-art machine learning algorithms and data preprocessing tools. The basic way of interacting with these methods is by invoking them from the command line.
Pfahringer, Bernhard +5 more
core +1 more source
Association Rule Mining Analysis of Cardiovascular Risk Factors in the CDC Diabetes Health Indicators Dataset [PDF]
InfoScience TrendsCardiovascular diseases and hypertension are among the prevalent health issues in various societies, which can lead to serious consequences such as heart attacks and strokes.
Meisam Dastani +5 more
doaj +1 more source