'Data preprocessing' diaporamas de présentation

1.39k views • 116 slides

Server Consolidation

Server Consolidation. Xiujiao Gao xiujiaog@buffalo.edu 12/02/2011. Overview. Introduction Server consolidation problems and solutions Static Server Allocation Problems (SSAP) and its extensions [1] Shares and Utilities based Server Consolidation [2]

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Data Mining: Data Preprocessing

Data Mining: Data Preprocessing. Data Preprocessing. Why preprocess the data? Descriptive data summarization Data cleaning Data integration and transformation Data reduction Discretization and concept hierarchy generation Summary. Why Data Preprocessing?.

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Dr. Yukun Bao School of Management, HUST

Business Data Mining. Dr. Yukun Bao School of Management, HUST. Chapter 3: Data Preprocessing. Why preprocess the data? Descriptive data summarization Data cleaning Data integration and transformation Data reduction Discretization and concept hierarchy generation Summary.

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Multivariate Analysis with T MVA Basic Concept and New Features

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Hyperspectral Imaging to Discern Benign and Malignant Canine Mammary tumors

Hyperspectral Imaging to Discern Benign and Malignant Canine Mammary tumors. Amrita Sahu 6 th December, 2012. Control Sensor Network and Perception Laboratory Electrical and Computer Engineering Department Temple University Philadelphia, PA 19122, U.S.A. Outline. Motivation

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CS685: Special Topics in Data Mining

CS685: Special Topics in Data Mining. Jinze Liu. Data Preprocessing. Why preprocess the data? Descriptive data summarization Data cleaning Data integration and transformation Data reduction Discretization and concept hierarchy generation Summary. Why Data Preprocessing?.

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Doppler Radar Data Assimilation with WRF-Var

Doppler Radar Data Assimilation with WRF-Var. Qingnong Xiao, NCAR/MMM Email: hsiao@ucar.edu. Outline:. Introduction Background and motivation WRF-Var Methodology Radial velocity Reflectivity Procedure Data preprocessing Setup of namelist and scripts Summary. Outline:. Introduction

679 views • 41 slides

David Elashoff UCLA Department of Biostatistics

Impact of the Choice of Expression Metric on the Standard Statistical Analysis of Oligonucleotide Microarray Data. David Elashoff UCLA Department of Biostatistics. Outline. Introduction to Affymetrix Microarrays Data Preprocessing Methods Within metric comparisons

493 views • 39 slides

Data Mining Techniques for CRM

Data Mining Techniques for CRM. Seyyed Jamaleddin Pishvayi Customer Relationship Management Instructor : Dr. Taghiyare Tehran University Spring 1383. Outlines. What is Data Mining? Data Mining Motivation Data Mining Applications Applications of Data Mining in CRM Data Mining Taxonomy

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Flow chart of Affymetrix from sample to information

Flow chart of Affymetrix from sample to information. Functional annotation. Pathway assignment. Co-ordinate regulation. Tissue. Promoter motif commonalities. Output as Affy.chp file. Text. Generate Affy.dat file. Hybridize to Affy arrays. Hyb. cRNA. Self Organized Maps (SOMs).

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RiskCog: Privacy-preserving Unobtrusive Real-time Mobile User Authentication

RiskCog: Privacy-preserving Unobtrusive Real-time Mobile User Authentication. Yan Chen Lab of Internet and Security Technology (LIST) Zhejiang University, China Northwestern University, USA. How many of you use your smartphones to make payments? What about to storing sensitive data

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2. Data Preparation and Preprocessing

2. Data Preparation and Preprocessing. Data and Its Forms Preparation Preprocessing and Data Reduction. Data Types and Forms. Attribute-vector data: Data types numeric, categorical ( see the hierarchy for their relationship ) static, dynamic (temporal) Other data forms distributed data

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Gary Kratkiewicz BBN Technologies Geoffrey Knauth BAE Systems

Taming Development and Data Chaos in Military Logistics: The ICIS Experience With Lightweight Languages. Gary Kratkiewicz BBN Technologies Geoffrey Knauth BAE Systems. ICIS Background. Web-based software system Analyzes future combat and humanitarian operations

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A LVQ-based neural network anti-spam email approach

A LVQ-based neural network anti-spam email approach. ??? ?? ???? ??? 94722001 2005/12/07. Outline. 1 . Introduction 2. Email sample and data preprocessing 2.1 Email representation 2.2 Feature extraction 3. Anti-spam email LVQ model 3.1 Spam email category.

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Stochastic Unsupervised Learning on Unlabeled Data

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Kangaroo Auto Insurance Company Claim Data Modeling

Kangaroo Auto Insurance Company Claim Data Modeling. Group 4: Ding Xiang Lin Chen Jing Yang. Data Preprocessing -Aggregation. Before. After. Two stages model. Method 1: Binomial+Tweedie From Binomial From Tweedie. Method 2: Possion+OLS with log transformation From Possion

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Summary

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SOCR Web Site

SOCR Web Site. Webapps Tools. Learn. About. Translate, Navigators, History, About, References, Docs, Team, Acknowledgments, Funding. EBook, Activities, Data, News, Courses, Docs, Projects, GuideMe. Data Oriented. Tool Type. GuideMe. User-Provided. SOCR-Simulated. Derived. Online

104 views • 2 slides