Results 211 to 220 of about 79,268 (265)

From prior knowledge to data-informed models: a review of Boolean network inference. [PDF]

Brief Bioinform
Klemmer P, Hemedan AA, Schneider R, Ostaszewski M.   +3 more
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Revisions in Text.

JAMA Surg
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Data mining on text

Proceedings. The Twenty-Second Annual International Computer Software and Applications Conference (Compsac '98) (Cat. No.98CB 36241), 2002
Data mining technology is giving us the ability to extract meaningful patterns from large quantities of structured data. Information retrieval systems have made large quantities of textual data available. Extracting meaningful patterns from this data is difficult. Current tools for mining structured data are inappropriate for free text.
Chris Clifton, Rick Steinheiser
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Text Knowledge Mining: An Alternative to Text Data Mining

2008 IEEE International Conference on Data Mining Workshops, 2008
In this paper we introduced an alternative view of text mining and we review several alternative views proposed by different authors. We propose a classification of text mining techniques into two main groups: techniques based on inductive inference, that we call text data mining (TDM, comprising most of the existing proposals in the literature), and ...
Daniel Sánchez 0001, María J. Martín-Bautista, Ignacio J. Blanco, Consuelo Justicia de la Torre   +3 more
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Data Analysis Support by Combining Data Mining and Text Mining

2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI), 2017
In recent years, data mining and text mining techniques have been frequently used for analyzing questionnaire and review data. Data mining techniques such as association analysis and cluster analysis are used for marketing analysis, because those can discover relationships and rules hiding in enormous numerical data.
Tomoya Matsumoto, Wataru Sunayama, Yuji Hatanaka, Kazunori Ogohara   +3 more
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Data mining and text mining — A survey

2017 International Conference on Computation of Power, Energy Information and Commuincation (ICCPEIC), 2017
In this paper we mainly focus on the techniques of data mining such as clustering, classification etc. In today's strategy it becomes a hectic task to gather, analyze and extract huge amount of datasets. So we use many efficient methods for the practical integration of the data.
R. Suresh, S. R. Harshni
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Text data mining: a case study

International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II, 2005
A vast amount of data is available on the World Wide Web. Many companies have started to mine this data to augment datasets used in production. This paper presents an industry study for one such text data mining. The study and analysis of the extracted data from the World Wide Web could be used to help improve products and services.
Charles Wesley Ford, Chia-Chu Chiang, Hao Wu, Radhika R. Chilka, John R. Talburt   +4 more
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