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Medication patterns and therapeutic strategies in Traditional Chinese Medicine for coronary heart disease: A text mining analysis of clinical literature. [PDF]
Medicine (Baltimore)Qu S +7 more
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Coping behavior toward occupational health risks among construction workers: determinant identification using the COM-B model and data mining analysis. [PDF]
Front Public HealthYang X, Ling Y, Wang L, Li Y, Zeng M.
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Machine Learning Analysis of Cytotoxicity Determinants in Nanoparticle-Based Rheumatoid Arthritis Therapies. [PDF]
Mol PharmYildirim E, Cakir I, Ileri-Ercan N.
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Mining Causal Association Rules
2013 IEEE 13th International Conference on Data Mining Workshops, 2013Discovering causal relationships is the ultimate goal of many scientific explorations. Causal relationships can be identified with controlled experiments, but such experiments are often very expensive and sometimes impossible to conduct. On the other hand, the collection of observational data has increased dramatically in recent decades.
Jiuyong Li +5 more
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2009
Data mining is a field encompassing study of the tools and techniques to assist humans in intelligently analyzing (mining) mountains of data. Data mining has found successful applications in many fields including sales and marketing, financial crime identification, portfolio management, medical diagnosis, manufacturing process management and health ...
Vasudha Bhatnagar, Sarabjeet Kochhar
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Data mining is a field encompassing study of the tools and techniques to assist humans in intelligently analyzing (mining) mountains of data. Data mining has found successful applications in many fields including sales and marketing, financial crime identification, portfolio management, medical diagnosis, manufacturing process management and health ...
Vasudha Bhatnagar, Sarabjeet Kochhar
openaire +2 more sources
2005
Association Rule Mining (ARM) is concerned with how items in a transactional database are grouped together. It is commonly known as market basket analysis, because it can be likened to the analysis of items that are frequently put together in a basket by shoppers in a market. From a statistical point of view, it is a semiautomatic technique to discover
WOON, Yew-Kwong +2 more
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Association Rule Mining (ARM) is concerned with how items in a transactional database are grouped together. It is commonly known as market basket analysis, because it can be likened to the analysis of items that are frequently put together in a basket by shoppers in a market. From a statistical point of view, it is a semiautomatic technique to discover
WOON, Yew-Kwong +2 more
openaire +1 more source
Mining association rules from quantitative data☆
Intelligent Data Analysis, 1999Data-mining is the process of extracting desirable knowledge or interesting patterns from existing databases for specific purposes. Most conventional data-mining algorithms identify the relationships among transactions using binary values, however, transactions with quantitative values are commonly seen in real-world applications.
Hong, Tzung-Pei +2 more
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Exception rules in association rule mining
Applied Mathematics and Computation, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Taniar, David. +3 more
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