Results 221 to 230 of about 98,082 (264)

Data Mining Techniques

2015
This chapter presents available data mining techniques that can be of interest for application in indoor environment analysis. Descriptive statistics tools are presented with the focus on probability distribution and correlation analysis. Multivariate data techniques are also addressed, with a special focus on principal components determination and ...
Nuno M. M. Ramos, João M. P. Q. Delgado, Ricardo M. S. F. Almeida, Maria L. Simões, Sofia Manuel   +4 more
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A Data Mining Technique

2001
The data mining step in KDD specifies the task to be performed, such as summarization or anomaly-detection. In this chapter, we introduce the data structures and algorithms utilized by our data mining technique. These data structures and algorithms have been incorporated into DGG-Discover and DGG-Interest, extensions to DB-Discover, a research software
Robert J. Hilderman, Howard J. Hamilton
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Data Mining Techniques for Microarray Datasets

21st International Conference on Data Engineering (ICDE'05), 2005
Data mining research, which focuses on scalable and effective knowledge discovery from databases, can provide timely solutions for the biologists in these aspects. In this article, we aim to provide platform in which various aspects of microarray data analysis is being introduced. We discuss in layman term how microarray datasets are generated and used
Lei Liu, Jiong Yang 0001, Anthony K. H. Tung   +2 more
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Clustering Techniques for Big Data Mining

2021
This paper introduces the Clustering method as an unsupervised machine learning where the input and the output data are unlabeled. Many algorithms are designed to solve clustering problems and many approaches were developed to enhance deficiency or to seek efficiency and effectiveness.
Youssef Fakir, Jihane El Iklil
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Application of Data Mining Techniques to Healthcare Data

Infection Control & Hospital Epidemiology, 2004
AbstractA high-level introduction to data mining as it relates to surveillance of healthcare data is presented. Data mining is compared with traditional statistics, some advantages of automated data systems are identified, and some data mining strategies and algorithms are described.
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Data Mining Techniques in Index Techniques

2003
Redundant data structures such as indexes have emerged as some of the improved query processing techniques for dealing with very large data volumes and fast response time requirements of a data warehouse. This paper investigates factors like the use of tuples specified in the criteria of a structured query language (SQL) query and their influence on ...
Ying Wah Teh, Abu Bakar Zaitun
openaire   +1 more source

Data mining techniques and applications in medicine.

Artificial intelligence in medicine, 1999
In his excellent article on ‘the adolescence of AI in Medicine’, Edward H. Shortliffe (AIM, 1993, 5:93-106) exposes three factors that may influence the successful integration of AI systems into patient-care settings: enhancement of training, international standards, and information infrastructure.
Zupan, Blaž, Lavrač, Nada, Keravnou-Papailiou, Elpida   +2 more
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On visualization techniques for solar data mining

Astronomy and Computing, 2015
Large-scale data mining is often aided with graphic visualizations to facilitate a better understanding of the data and results. This is especially true for visual data and highly detailed data too complex to be easily understood in raw forms. In this work, we present several of our recent interdisciplinary works in data mining solar image repositories
Michael A. Schuh, Juan M. Banda, Tim Wylie, Patrick McInerney, Karthik Ganesan Pillai, Rafal A. Angryk   +5 more
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Web data mining trends and techniques

Proceedings of the International Conference on Advances in Computing, Communications and Informatics, 2012
Web Services and Web-based applications are growing at an exponential rate. This is generating a huge amount of Web data having its own peculiar characteristics. This in turn makes research in the area of Web Data Mining more challenging. Web Data Mining is an application of Data Mining which deals with extraction of interesting or hidden knowledge ...
Ujwala Manoj Patil, Jayantrao Bhaurao Patil   +1 more
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Data Mining Techniques

2003
Data mining, as already noted, is a component of the knowledge discovery process. It can be defined as a set of techniques that allows data analysis and exploration in order to discover significant rules or hidden models within large archives by means of an entirely or partially automated procedure (Berry and Linoff 1997).
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