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数据之美(影印版)

数据之美(影印版)

定 价:¥62.00

作 者: (美)西格兰,(美)哈梅巴赫 著
出版社: 东南大学出版社
丛编项:
标 签: 计算机理论

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ISBN: 9787564122720 出版时间: 2010-06-01 包装: 平装
开本: 16开 页数: 364 字数:  

内容简介

  你很快就会发现基于数据的工作会变得多么广泛和美妙。通过一系列的个人故事,该领域的39位最佳数据从业者解释了他们是如何为各式各样的项目来开发简单而又优雅的解决方案,包括从火星着陆器到电台司令(radiohead)的视频,以及更多。通过这本书,你可以:·探索大量在线数据集内在的机会和挑战·了解如何使用地图和数据糅合来可视化城市犯罪趋势·发现众包和透明度如何推进了药品研究的状态·理解新数据如何能在覆盖先前数据时提醒用户·了解处理dna数据所需的巨量基础设施

作者简介

暂缺《数据之美(影印版)》作者简介

图书目录

PREFACE
1 SEEING YOUR LIFE IN DATA by Nathan Yau
Personal Environmental Impact Report (PEIR)
your.flowingdata (YFD)
Personal Data Collection
Data Storage
Data Processing
Data Visualization
The Point
How to Participate
2 THE BEAUTIFUL PEOPLE: KEEPING USERS IN MIND WHEN DESIGNING DATA COLLECTION METHODS
by Jonathan Follett and Matthew Holm
Introduction: User Empathy Is the New Black
The Project: Surveying Customers About a
New Luxury Product
Specific Challenges to Data Collection
Designing Our Solution
Results and Reflection
3 EMBEDDED IMAGE DATA PROCESSING ON MARS by.J. M. Hughes
Abstract
Introduction
Some Background
To Pack or Not to Pack
The Three Tasks
Slotting the Images
Passing the Image: Communication Among the Three Tasks
Getting the Picture: Image Download and Processing
Image Compression
Downlink, or, Its All Downhill from Here
Conclusion
4 CLOUD STORAGE DESIGN IN A PNUTSHELL by Brian F. Cooper, Raghu Ramakrishnan, and Utkarsh 5riuastaua
Introduction
Updating Data
Complex Queries
Comparison with Other Systems
Conclusion
5 INFORMATION PLATFORMS AND THE RISE OF THE DATA SCIENTIST
by Jeff Hammerbacher
Libraries and Brains
Facebook Becomes Self-Aware
A Business Intelligence System
The Death and Rebirth of a Data Warehouse
Beyond the Data Warehouse
The Cheetah and the Elephant
The Unreasonable Effectiveness of Data
New Tools and Applied Research
MAD Skills and Cosmos
Information Platforms As Dataspaces
The Data Scientist
Conclusion
6 THE GEOGRAPHIC BEAUTY OF A PHOTOGRAPHIC ARCHIVE by Jason Dykes and Jo Wood
Beauty in Data: Geograph
Visualization, Beauty, and Treemaps
A Geographic Perspective on Geograph Term Use
Beauty in Discovery
Reflection and Conclusion
7 DATA FINDS DATA by Jeff Jonas and Lisa Sokol
Introduction
The Benefits of Just-in-Time Discovery
Corruption at the Roulette Wheel
Enterprise Discoverability
Federated Search Aint All That
Directories: Priceless
Relevance: What Matters and to Whom?
Components and Special Considerations
Privacy Considerations
Conclusion
8 PORTABLE DATA IN REAL TIME by Jud Valeski
Introduction
The State of the Art
Social Data Normalization
Conclusion: Mediation via Gnip
9 SURFACING THE DEEP WEB by Alon Haleuy and Jayant Madhauen
What Is the Deep Web?
Alternatives to Offering Deep-Web Access
Conclusion and Future Work
10 BUILDING RADIOHEADS HOUSE OF CARDS by Aaron Koblin with Valdean Klump
How It All Started
The Data Capture Equipment
The Advantages of Two Data Capture Systems
The Data
Capturing the Data, aka "The Shoot"
Processing the Data
Post-Processing" the Data
Launching the Video
Conclusion
11 VISUALIZING URBAN DATA by Michal Migurski
Introduction
Background
Cracking the Nut
Making It Public
Revisiting
Conclusion
12 THE DESIGN OF SENSE.US by Jeffrey Heer
Visualization and Social Data Analysis
Data
Visualization
Collaboration
Voyagers and Voyeurs
Conclusion
13 WHAT DATA DOESNT DO by Coco Krumme
When Doesnt Data Drive?
Conclusion
14 NATURAL LANGUAGE CORPUS DATA by Peter Noruig
Word Segmentation
Secret Codes
Spelling Correction
Other Tasks
Discussion and Conclusion
15 LIFE IN DATA: THE STORY OF DNA by Matt Wood and Ben Blackburne
DNA As a Data Store
DNA As a Data Source
Fighting the Data Deluge
The Future of DNA
16 BEAUTIFYING DATA IN THE REAL WORLD by Jean-Claude Bradley, Rajarshi Guha, Andrew Lang,
Pierre Lindenbaum, Cameron Ney/on, Antony Williams,and Egon Willighagen
The Problem with Real Data
Providing the Raw Data Back to the Notebook
Validating Crowdsourced Data
Representing the Data Online
Closing the Loop: Visualizations to Suggest
New Experiments
Building a Data Web from Open Data and Free Services
17 SUPERFICIAL DATA ANALYSIS: EXPLORING MILLIONS OF SOCIAL STEREOTYPES
by Brendan OConnor and Lukas Biewald
Introduction
Preprocessing the Data
Exploring the Data
Age, Attractiveness, and Gender
Looking at Tags
Which Words Are Gendered?
Clustering
Conclusion
18 BAY AREA BLUES: THE EFFECT OF THE HOUSING CRISI!
19 BEAUTIFUL POLITICAL DATA
20 CONNECTING DATA

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