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[DOC File]Making Time-series Classification More Accurate Using ...
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In proceedings of the 8th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery. Shneiderman, B. (2002). Inventing discovery tools: combining information visualization with data mining. Information Visualization 1(1): 5-12. Tanaka, Y. & Uehara, K. (2004). Motif Discovery Algorithm from Motion Data.
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[DOC File]Chapter 1
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5.0 Data Mining and Visualization. 5.1 What is Data Mining . Data Mining definitions : Data mining as a discovery process of unknown or unsuspected patterns of data. Data mining tools look for patterns, correlations and relationships that could be useful. (Source: Data warehouse project Management, Adelman & Moss, 2000)
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[DOCX File]Consumer Digital Media Usage - NIST Big Data Working …
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Data Discovery and Classification Leverage HL7 and other standard formats opportunistically, but avoid attempts at schema normalization. Some columns will be strongly encrypted, while others will be specially encrypted (or associated with cryptographic metadata) for enabling discovery and classification.
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CUSTOMER: - Find open data
Discovery Phase. START DATE: ASAP. Planned start date is 24 Nov ‘14. ... providing a shared service at the Government Security Classification “SECRET” for Office Automation and collaboration tools.
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[DOC File]Knowledge discovery in databases (KDD)
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Automated tools are available both commercially and in the public domain. Pattern Discovery and Data Cleaning is another type of classification that systematically reduces a large database to a few pertinent and informative records [7]. If redundant and uninteresting data is eliminated, the task of discovering patterns in the data is simplified.
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[DOC File]Knowledge Discovery in Databases:
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Knowledge discovery in databases (often called data mining) aims at the discovery of useful information from large collections of data. In addition the author puts special stress on fact that the task of KDD is inherently interactive and iterative, and it is a process containing …
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[DOC File]Subj:
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56) Jie Xu: “Methodologies and Tools for the Exchange of Genomic Data” (December 2002) 57) Yudong He: “Comparison between Different Reinforcement Learning Algorithms” (December 2002). 58) Victor Negrete: “Crater Image Classification using Classical Techniques and Ontologies” (December 2002).
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[DOCX File]Microsoft Word - Example_SQL_Server_2008_Data_mining
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Data mining has many definitions and may be called by other names such as knowledge discovery. It is generally considered to be a part of the umbrella of tasks, tools, techniques etc. within business Intelligence (BI). ... Medium or High would be an example of a classification data mining task. Thus, the difference between the two tasks is the ...
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[DOCX File]NOAA Data Documentation Directive v2.0
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Wherever possible, metadata records shall be provided for aggregations of closely-related observations. The intent of aggregation is to simplify discovery and use of the data; the appropriate level of aggregation depends on the nature of the data. Data from an ongoing time series, and collections of …
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[DOC File]NMFS Data Documentation Procedural Directive
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Metadata for Discovery: Information that allows users to search and find data holdings using text, keyword, temporal, and spatial queries, and to locate a contact person for the data they discover. Metadata and Documentation for Understanding: Information that allows independent understanding of data by anticipated and unanticipated users.
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Data discovery and classification tools