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SAS Technical Papers » Data Mining and Text Mining

FP-GROWTH APPROACH FOR DOCUMENT CLUSTERING by Monika Akbar A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science

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Data mining, also known as knowledge discovery in database (KDD), is the process to discover interesting unknown knowledge from a large amount of data.

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APRIORI APPROACH TO GRAPH-BASED CLUSTERING OF TEXT DOCUMENTS by Mahmud Shahriar Hossain A thesis submitted in partial fulfillment of the requirements …

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Data mining Thesis Topics based on information retrieval, pattern discovery, clustering classification and association rule mining

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Text Mining with Information Extraction clustering. The related task of of text documents in order to pass extracted items to the data mining module.

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k-means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining. k-means clustering aims

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04.12.2013 · Top software for Text Analysis, Text Mining, Text Analytics : Text Analysis, Text Mining, Text Analytics uses statistical pattern learning to find …

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Abstract Efficient Algorithms for Clustering and Classifying High Dimensional Text and Discretized Data using Interesting Patterns Hassan H. Malik

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Department of Electrical Engineering and Computer Science Text Classification Combining Clustering and Hierarchical Approaches Shankar Ranganathan

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26.02.2016 · I'm a student in my last year of university, and I'm working on some analysis for my bachelor's thesis. I'm analyzing a moderately big dataset (20,000 rows

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01.01.2010 · Text Clustering Exploration – Swedish Text Representation and Clustering The main contributions of this thesis are an investigation of text

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07.06.2017 · The idea of text clustering long preceded the computer age: “Clustering is one of the most primitive mental activities of humans, used to handle the huge

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SEMANTIC PRESERVING TEXT REPRESENTATION AND ITS APPLICATIONS IN TEXT CLUSTERING by MICHAEL HOWARD A THESIS Presented to the Faculty of …

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Text categorization (a.k.a. text classification) is the task of assigning predefined categories to free-text documents. It can provide conceptual views of document

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Concept-based Text Clustering (Thesis, Doctor of Philosophy (PhD)). University of Waikato, Hamilton, New Zealand. Retrieved from http://hdl.handle.net/10289/5476.

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Incremental hierarchical text document clustering algorithms are important in organizing documents generated from streaming on-line sources, such as, Newswire …

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1 text mining with support vector machines and non-negative matrix factorization algorithms by neelima guduru a thesis submitted in partial fulfillment of the