Data discovery and classification
[DOC File]homepages.rpi.edu
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Data Mining (DM), also known as Knowledge Discovery in Databases (KDD), is an area of common interest to researchers in machine discovery, statistics, databases, knowledge acquisition, machine learning, data visualization, high performance computing, and knowledge-based systems.
[DOC File]Title: Knowledge Discovery: Detecting Elderly …
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The purpose of this study was to test a knowledge discovery method to detect elderly patients with impaired mobility in a large clinical dataset. The research method applied an exploratory design and a data mining classification method (cost sensitive Decision Tree J48 from WEKA) to classify patients.
[DOC File]Requirements for a Data Element Repository
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Proposed Data Element Attributes for Clinical Data Element Repository. ISO/IEC 11179 Common attributes that are used for each type of administered item, i.e., Classification scheme, conceptual domain, context (for an administered item), data element, data element concept, object class, property, representation class, and value domain.
[DOC File]Knowledge discovery in databases (KDD)
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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. This approach works on the premise of the old adage, ``less is more''.
[DOC File]Exam0 - UH
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Problem 3 --- Region Discovery [5]: Problem 4 --- Decision Trees & Classification [17]: Problem 5 --- Data Mining in General [6]: Problem 6 --- Exploratory Data Analysis [9]: : Grade: The exam is “open books” and you have 75 minutes to complete the exam. The exam will …
[DOCX File]Sample Data Retention Policy - California New Car …
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Sample Data Retention Policy. ... Litigation Exception Process and How to Respond to Discovery Requests. ... DEALERSHIP will consult with legal counsel to determine the proper classification of the Data or to establish a Retention Period for the Data in question. To the extent Data is subject to more than one Retention Period, the Data will be ...
[DOCX File]Introduction - CDT | CA Dept of Technology
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Data Classification – Policies and processes to classify information in terms of its value, legal requirements, sensitivity, and criticality to the organization are in place. ... the reporting of incidents immediately upon discovery, and preparation and submission of follow-up written reports. Author: Rosa Umbach Created Date:
[DOCX File]Microsoft Word - …
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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). ... Three data mining algorithms for the classification data mining tasks will be illustrated and compared: Decision Trees ...
[DOC File]Classification
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CLASSIFICATION SYSTEM. PURPOSE AND SCOPE. This Detention Standard protects detainees, staff, contractors, volunteers, and the community from harm, and contributes to orderly facility operations, by requiring a formal classification process for managing and separating detainees that is based on verifiable and documented data.
[DOC File]Data Mining & Knowledge Discovery in Databases: …
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Data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue, cuts costs, or both. Data mining software is one of …
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