'Large databases' diaporamas de présentation

Strategies for Successful Data Governance

Strategies for Successful Data Governance. Agenda. Understanding Data Governance Controlling Data Growth Understanding the Insider Threat to Data Success Stories .

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Lecture 2: Data Mining

Lecture 2: Data Mining. Roadmap. What is data mining? Data Mining Tasks Classification/Decision Tree Clustering Association Mining Data Mining Algorithms Decision Tree Construction Frequent 2-itemsets Frequent Itemsets (Apriori) Clustering/Collaborative Filtering. What is Data Mining?.

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Gadgets, Things, and A Glimpse of the Future

Gadgets, Things, and A Glimpse of the Future. Introduction. Driven by advances in Electronics, Information Systems Science and Engineering, The evolution of multimedia information and communication technology is manifesting itself in an explosion of

1.1k views • 58 slides

Data Mining in Market Research

Data Mining in Market Research. What is data mining? Methods for finding interesting structure in large databases E.g. patterns, prediction rules, unusual cases Focus on efficient, scalable algorithms Contrasts with emphasis on correct inference in statistics

1.05k views • 55 slides

Spatial Data Mining and Spatial Data Warehousing Special Topics In Database

Spatial Data Mining and Spatial Data Warehousing Special Topics In Database. Sadra Abedinzadeh Ashkan Zarnani Farzad Peyravi. Outline. Motivation and General Description Data Warehousing: Basic Concepts and Techniques Spatial Data Warehousing and Spatial OLAP Techniques

1.54k views • 53 slides

Evaluation of Biometric Identification Systems

Evaluation of Biometric Identification Systems. Dr. Bill Barrett, CISE department and US National Biometric Test Center San Jose State University email: wbarrett@email.sjsu.edu. The Biometric Test Center. Funded by several federal agencies Centered in a disinterested university setting

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Data Warehousing and Data Mining

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Knowledge Discovery in Microbiology Data: Analysis of Antibiotic Resistance in Nosocomial Infections

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Estimating Causal Effects from Large Data Sets Using Propensity Scores

Estimating Causal Effects from Large Data Sets Using Propensity Scores. Hal V. Barron, MD TICR May 2007. Estimating Causal Effects from Large Data Sets Using Propensity Scores.

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Searching Medline

Searching Medline. Janet West Principal Pharmacist Medicines Information Southern General Hospital NHS Greater Glasgow & Clyde. July 2007 course - participants responses. 12 questionnaires returned

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Bellman: A Data Quality Browser

Bellman: A Data Quality Browser. Tamraparni Dasu Theodore Johnson S. Muthukrishnan Vladislav Shkapenyuk Amit Marathe Contact: marathe@research.att.com. Exploring Large and Complex Databases. AT&T has a lot of large databases.

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The Pyramid Match Kernel: Discriminative Classification with Sets of Image Features

The Pyramid Match Kernel: Discriminative Classification with Sets of Image Features. Kristen Grauman Trevor Darrell MIT. Sets of features. invariant region descriptors. local shape features. examples under varying conditions. Sets of features. Problem.

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CTPP in TranStats The One-Stop Shop of Transportation Data

CTPP in TranStats The One-Stop Shop of Transportation Data. www.transtats.bts.gov. ABOUT TRANSTATS TranStats offers analysts several unique features: Interactive analytical tools (future plans for CTPP, available on other databases.) One-Way Statistical Summaries Time Series Analysis

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Data Collection in Private Practice and Implementation with Electronic Medical Records

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Class 30: Security and Privacy

Class 30: Security and Privacy CSCI 101 Fall 2010 Daniel Scharstein Today Security Social Issues Reliance on computers DRM Privacy Computer Security Physical security : protect from theft, keep data backups, control access with passwords What makes a good password? Why?

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Mobile Ad Hoc Network Security (MANET)

Mobile Ad Hoc Network Security (MANET). Preethi Vishwanath San Jose State University Computer Science. Definition. A "mobile ad hoc network" (MANET) is an autonomous system of mobile routers (and associated hosts) connected by wireless links --the union of which form an arbitrary graph.

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Data Visualization Using SAS and JMP

Data Visualization Using SAS and JMP. Synchronize. Visualize. 2012. Analyze. SAS Visual Data Discovery/ Visual Business Intelligence. Enterprise Edition. Enterprise Edition. SAS VBI. Workgroup Edition. Adds:. BI Dash. OLAP Server. SAS VDD. Analyst Edition. ID Portal. OLAP Viewer.

624 views • 12 slides

The Use of Secondary Data in Modeling of Biological Data

Thomas J. Hughes and Elaina Kenyon QA and Records Manager, and Research Scientist Experimental Toxicology Division (ETD) U.S. EPA, ORD, NHEERL, RTP, NC U.S. EPA Annual QA Meeting San Antonio, TX May 14, 2009 The Use of Secondary Data in Modeling of Biological Data PURPOSE

459 views • 11 slides

The Use of Secondary Data in Modeling of Biological Data

Thomas J. Hughes and Elaina Kenyon QA and Records Manager, and Research Scientist Experimental Toxicology Division (ETD) U.S. EPA, ORD, NHEERL, RTP, NC U.S. EPA Annual QA Meeting San Antonio, TX May 14, 2009. The Use of Secondary Data in Modeling of Biological Data . PURPOSE.

295 views • 11 slides