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## Data Simplification

- Author : Jules J. Berman
- Publisher :Unknown
- Release Date :2016-03-10
- Total pages :398
- ISBN : 9780128038543

**Summary :** Data Simplification: Taming Information With Open Source Tools addresses the simple fact that modern data is too big and complex to analyze in its native form. Data simplification is the process whereby large and complex data is rendered usable. Complex data must be simplified before it can be analyzed, but the process of data simplification is anything but simple, requiring a specialized set of skills and tools. This book provides data scientists from every scientific discipline with the methods and tools to simplify their data for immediate analysis or long-term storage in a form that can be readily repurposed or integrated with other data. Drawing upon years of practical experience, and using numerous examples and use cases, Jules Berman discusses the principles, methods, and tools that must be studied and mastered to achieve data simplification, open source tools, free utilities and snippets of code that can be reused and repurposed to simplify data, natural language processing and machine translation as a tool to simplify data, and data summarization and visualization and the role they play in making data useful for the end user. Discusses data simplification principles, methods, and tools that must be studied and mastered Provides open source tools, free utilities, and snippets of code that can be reused and repurposed to simplify data Explains how to best utilize indexes to search, retrieve, and analyze textual data Shows the data scientist how to apply ontologies, classifications, classes, properties, and instances to data using tried and true methods

## Exam Prep for: Data Simplification

- Author : Anonim
- Publisher :Unknown
- Release Date :2021
- Total pages :229
- ISBN : 1230987654XX

**Summary :**

## Work Measurement and Work Simplification

- Author : United States. Social and Rehabilitation Service. Assistance Payments Administration
- Publisher :Unknown
- Release Date :1972
- Total pages :86
- ISBN : UOM:39015084446395

**Summary :**

## Pension Simplification and Investment Rules

- Author : United States. Congress. Senate. Committee on Finance. Subcommittee on Private Pension Plans and Employee Fringe Benefits
- Publisher :Unknown
- Release Date :1977
- Total pages :570
- ISBN : UOM:39015077946146

**Summary :**

## Tax Simplification and Technical Corrections Acts of 1991

- Author : United States,United States. Congress. House. Committee on Ways and Means
- Publisher :Unknown
- Release Date :1992
- Total pages :838
- ISBN : PSU:000018274080

**Summary :**

## Customs Simplification Act

- Author : United States. Congress. Senate. Committee on Finance
- Publisher :Unknown
- Release Date :1952
- Total pages :318
- ISBN : MINN:31951D036040687

**Summary :**

## A Simplified Guide to Automatic Data Processing

- Author : William A. Bocchino
- Publisher :Unknown
- Release Date :1966
- Total pages :246
- ISBN : UOM:39015021088714

**Summary :**

## Report of Sub-committee on Simplification of Benefit Formula and Employer Reporting

- Author : Interstate Conference of Employment Security Agencies. Unemployment Compensation Program Committee
- Publisher :Unknown
- Release Date :1948
- Total pages :62
- ISBN : CORNELL:31924002336067

**Summary :**

## Report of the Committee on the Simplification of Paper Sizes and Other Data

- Author : United States. Department of Commerce. Bureau of Standards. Committee on the Simplification of Paper Sizes
- Publisher :Unknown
- Release Date :1921
- Total pages :103
- ISBN : CHI:72774271

**Summary :**

## Feature Driven Compression and Simplification of 2d Vector Fields

- Author : Jose C. Renteria
- Publisher :Unknown
- Release Date :2002
- Total pages :270
- ISBN : UCSC:32106011233365

**Summary :**

## Automatic Generation of Data-flow Analyzers

- Author : Steven Weng-Kiang Tjiang
- Publisher :Unknown
- Release Date :1993
- Total pages :258
- ISBN : STANFORD:36105004437047

**Summary :**

## Geometric Methods for Simplification and Comparison of Data Sets

- Author : Kritika Singhal
- Publisher :Unknown
- Release Date :2020
- Total pages :265
- ISBN : OCLC:1240734893

**Summary :** Finite metric spaces are increasingly being used to model data sets that come equipped with a dissimilarity measure. Some examples of such data sets are DNA sequences, news articles, social networks and feature vectors in machine learning applications. Due to the ever increasing volume of data, the simplification of finite metric spaces is a fundamental problem in data analysis. In this thesis, new methods of simplification of compact metric spaces are introduced. There are three primary concepts used for simplification - fractal dimension, clustering and representative subspaces. The first concept is that of fractal dimension of a finite metric space. The effect of fractal dimension on the computational complexity of geometric problems such as the Traveling Salesman Problem, and the Independent Set of Unit Balls problem is studied. The running time lower bounds for these problems on metric spaces with non-integer dimension are computed and it is shown that these bounds nearly match previously known upper bounds. The second notion that is used for simplification of a compact metric space is clustering. Precisely, a new method for approximating a compact metric space with a k-point metric space is introduced. It is shown that approximating with k points is equivalent to certain notions of clustering of the input metric space into k blocks. Similar results are obtained for metric measure spaces. Using the equivalence results for metric spaces and metric measure spaces, polynomial time algorithms for computing the k-point approximations are developed. Another method of simplification of compact metric spaces is developed through identifying finite representative subspaces of the input metric space. The subspaces are representative because they store the entire metric information of the original metric space, up to a loss of epsilon. As a result, this method identifies a finite compression of the input metric space. A polynomial time exact algorithm is developed for computing a finite compression of smallest size, with zero loss, and a polynomial time approximation algorithm is developed for computing a finite compression of smallest size, with loss of epsilon greater than zero. Furthermore, a method for reconstructing the original metric space from the compressed metric space is described. Two transforms of the distance function of a metric measure space are also studied. These transforms are referred to as the Mass Transform and the Hyperbolicity Transform, as their definition uses sets of large mass and small hyperbolicity respectively. The theoretical and computational properties of these transforms are studied. Finally, new lower bounds on the Gromov-Hausdorff distance between compact metric spaces are computed using some of the simplification methods. New lower bounds on this distance are also computed using persistent homology and curvature sets of the input metric spaces.

## Integration of Surface Simplification Into a Retained-mode Graphics System

- Author : Travis Heppe
- Publisher :Unknown
- Release Date :2000
- Total pages :114
- ISBN : UCAL:X67690

**Summary :**

## GIS Tutorial II

- Author : David W. Allen
- Publisher :Unknown
- Release Date :2009
- Total pages :408
- ISBN : STANFORD:36105131186434

**Summary :** GIS Tutorial II: Spatial Analysis Workbook offers hands-on exercises to help GIS users at the intermediate level continue to build their problem-solving and analysis skills. Inspired by The ESRI Guide to GIS Analysis book series by Andy Mitchell, GIS Tutorial II provides a practical format for GIS users to develop proficiency in various spatial analysis methods, including classification; assessment of quantities and densities; location analysis; change over time, location, and value comparisons; geographic distribution; pattern analysis; and cluster identification. Whether used in combination with The ESRI Guide to GIS Analysis books or by itself, GIS Tutorial II: Spatial Analysis Workbook is the perfect tool for anyone who is ready to take their knowledge of GIS technology to the next level. GIS Tutorial II: Spatial Analysis Workbook includes a fully functioning 180-day trial version of ArcGIS� Desktop 9.3 software on DVD and a DVD of data for working through the exercises.

## Introduction to Data Processing

- Author : Robert R. Arnold,Harold C. Hill,Aylmer V. Nichols
- Publisher :Unknown
- Release Date :1966
- Total pages :326
- ISBN : WISC:89033927583

**Summary :**

## Proceedings of the Third International Conference on Web Information Systems Engineering

- Author : Tok Wang Ling
- Publisher :Unknown
- Release Date :2002
- Total pages :229
- ISBN : 0769517668

**Summary :**

## Very Large Data Bases

- Author : Anonim
- Publisher :Unknown
- Release Date :1983
- Total pages :229
- ISBN : UOM:39015009816813

**Summary :**

## Thirteen Perspectives on Regulatory Simplification

- Author : Daniel R. Mandelker
- Publisher :Unknown
- Release Date :1979
- Total pages :144
- ISBN : UOM:39015007223533

**Summary :**

## Tax Simplification and Reform

- Author : Anonim
- Publisher :Unknown
- Release Date :1970
- Total pages :840
- ISBN : STANFORD:36105044133358

**Summary :**

## Workshop in the Simplification of Dental Procedures, June 15, 16, 17, 1959

- Author : Anonim
- Publisher :Unknown
- Release Date :1960
- Total pages :230
- ISBN : UOM:39015023399531

**Summary :**

## A Simplification of Nonlinear Observer Theory

- Author : Andrew Russell Phelps
- Publisher :Unknown
- Release Date :1987
- Total pages :210
- ISBN : UCAL:C2925980

**Summary :**