'Data cleaning' presentation slideshows

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?. Data in the real world is dirty

1.36k views • 74 slides

925 views • 56 slides

Ameriflux Scientific Data Server Technology Overview

Ameriflux Scientific Data Server Technology Overview. Catharine van Ingen, MSFT (vaningen@microsoft.com) 11 December 2006. Outline. Overview Database schema Data cube structure Data staging pipeline Work in progress and future plans. Overview. Ameriflux Collaboration Overview.

582 views • 49 slides

536 views • 40 slides

Cleaning Validating and Enhancing Data with Open Refine

477 views • 36 slides

Representation Formalisms for Uncertain Data

470 views • 35 slides

RAMP Rollout in Kenya

RAMP Rollout in Kenya. Rapid Mobile Phone-based survey (RAMP)in Kenya. Presented by Kioko Kiilu (KRCS) Jenny Cervinskas (IFRC) Nairobi, February 1 st , 2011. Outline. Introduction to Rapid Mobile Phone- based (RAMP) survey RAMP experience with KRCS volunteers

702 views • 33 slides

Phases of Therapeutic Development

Phases of Therapeutic Development. by Virinder Nohria, MD, PhD Presented at ASENT Annual Meeting Symposium on Neurotherapeutics Arlington, VA March 6, 2008. Contact Information: vnohria@aol.com ; 1-828-349-0247. Agenda. Definitions Overview of Drug Development

329 views • 29 slides

MUSIC DATA ANALYSIS

MUSIC DATA ANALYSIS. ACAR ERDINC. OUTLINE. Motivation Data Obtaining the data Parameters & Statistics Missing Values & Noise Data Cleaning Tools Used Methods and Algorithms Used Current Results Feature Work. MOTIVATION.

403 views • 27 slides

Andrew McMillan

387 views • 24 slides

Data analysis

Data analysis. Data analysis and interpretation. Think about analysis EARLY Start with a plan Collect data, clean, quality check Analyze Interpret Reflect What did we learn? What conclusions can we draw? What are our recommendations? What are the limitations of our analysis?.

498 views • 23 slides

Identifying Problem Sources at Data Entry and Collection

374 views • 22 slides

EDC Metrics: The Full Utilization of EDC Functionality

EDC Metrics: The Full Utilization of EDC Functionality. Teresa Ancukiewicz, CCDM Boston Scientific Corporation. December 7, 2007. Metrics: EDC vs. Paper. The main concept of data review and trend analysis is similar, but: Traditional roles, processes have changed

548 views • 19 slides

DT205-3 Work Placement Presentation 2011

DT205-3 Work Placement Presentation 2011. By Keith Bermingham. ISQSH. Irish Society for Quality and Safety in Healthcare Founded in 1994. ISQSH. Not-for-profit, non governmental, members based charitable organisation.

266 views • 18 slides

Some Experiences with the Planning and Management of PHCs

ECONOMIC COMMISSION FOR LATIN AMERICA AND THE CARIBBEAN Subregional Headquarters for the Caribbean. Some Experiences with the Planning and Management of PHCs. GIS/Management Workshop for 2010 Round of PHCs Port of Spain October 22-26, 2007. Planning. Initiate Planning Activities

295 views • 12 slides

Data Preprocessing

Data Preprocessing. Lecture 12: Overview of data preprocessing Lecture 13: Descriptive data summarization Lecture 14: Data cleaning Lecture 15: Data integration/transformation and data reduction Lecture 16: Discretization and concept hierarchy generation and summary. Discretization.

234 views • 12 slides

Information Extraction Introduction

228 views • 10 slides

Go to Exercise #6 on Class Handout #5:

Go to Exercise #6 on Class Handout #5:. 6.

191 views • 9 slides

Summary

636 views • 7 slides

Software Agents for Web Mining

321 views • 6 slides