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Gartner Reveals Magic Quadrant for Advanced Analytics - insideBIGDATA

Gartner Reveals Magic Quadrant for Advanced Analytics - insideBIGDATA | K12 Student Data | Scoop.it
insideBIGDATA
Gartner Reveals Magic Quadrant for Advanced Analytics
insideBIGDATA
Gartner_lightbulb The analytics software category is 30 years old and about $15 billion in size.
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#analytics #data #BigData

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A conversation with Stephen Few about data visualisation. Kind of ...

A conversation with Stephen Few about data visualisation. Kind of ... | K12 Student Data | Scoop.it

Stephen Few is a bit of a hero to those interested in data visualisation and his blog, Perceptual Edge is required reading for anyone interested in the field. Yesterday he published a cogent and fascinating piece about the latest ...


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#perceptual #design #data

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BESegal's curator insight, March 16, 2013 3:38 PM
Stephen Few criticizes Tableau for adding word clouds as a sell out because they useless for analyzing data. And he argues The Guardian should use its position as a respected newspaper to promote and high light data visualizations that follow the science of human perception, not that amount to eye candy, e.g. word clouds, certain types of bubble charts, etc.
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Commercial Data Mining - PDF Free Download - Fox eBook

Commercial Data Mining - PDF Free Download - Fox eBook | K12 Student Data | Scoop.it
Commercial Data Mining PDF Free Download, Reviews, Read Online, ISBN: 0124166024, By David Nettleton

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Top emerging tech trends

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Fox eBook's curator insight, February 16, 2014 8:17 PM

Chapter 1. Introduction
Chapter 2. Business Objectives
Chapter 3. Data Quality
Chapter 4. Data Representation
Chapter 5. Possible Sources of Data and Information
Chapter 6. Selection of variables and factors
Chapter 7. Data Sampling
Chapter 8. Data Analysis
Chapter 9. Modeling
Chapter 10. The Data Mart – structured data warehouse
Chapter 11. Querying, Report Generation and Executive Information Systems
Chapter 12. Analytical CRM – Customer Relationship Analysis
Chapter 13. Website analysis and Internet search
Chapter 14. Online social network analysis
Chapter 15. Web search trend analysis
Chapter 16. Creating your own environment for commercial data analysis
Chapter 17. Summary

Rohan Gupta's curator insight, November 23, 2015 1:03 AM

Top emerging tech trends

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Four stages to conquer mobile content management - TechRepublic

Four stages to conquer mobile content management - TechRepublic | K12 Student Data | Scoop.it
Four stages to conquer mobile content management TechRepublic Mobile content management (MCM) is becoming more important as a platform for enterprises as mobility and Bring Your Own Device (BYOD) provide the technology framework for today's...
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K12 mobile content management

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Data Mining for Service - PDF Free Download - Fox eBook

Data Mining for Service - PDF Free Download - Fox eBook | K12 Student Data | Scoop.it
Data Mining for Service PDF Free Download, Reviews, Read Online, ISBN: 3642452515, By Katsutoshi Yada

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Fox eBook's curator insight, February 17, 2014 7:54 PM

Part I Fundamental Technologies Supporting Service Science
Chapter 1 Data Mining for Service
Chapter 2 Feature Selection Over Distributed Data Streams
Chapter 3 Learning Hidden Markov Models Using Probabilistic Matrix Factorization


Chapter 4 Dimensionality Reduction for Information Retrieval Using Vector Replacement of Rare Terms
Chapter 5 Panel Data Analysis Via Variable Selection and Subject Clustering

 

Part II Knowledge Discovery from Text
Chapter 6 A Weighted Density-Based Approach for Identifying Standardized Items that are Significantly Related to the Biological Literature
Chapter 7 Nonnegative Tensor Factorization of Biomedical Literature for Analysis of Genomic Data
Chapter 8 Text Mining of Business-Oriented Conversations at a Call Center

 

Part III Approach for New Services in Social Media
Chapter 9 Scam Detection in Twitter
Chapter 10 A Matrix Factorization Framework for Jointly Analyzing Multiple Nonnegative Data Sources
Chapter 11 Recommendation Systems for Web 2.0 Marketing

 

Part IV Data Mining Spreading into Various Service Fields
Chapter 12 Handling Imbalanced and Overlapping Classes in Smart Environments Prompting Dataset
Chapter 13 Change Detection from Heterogeneous Data Sources
Chapter 14 Interesting Subset Discovery and Its Application on Service Processes
Chapter 15 Text Document Cluster Analysis Through Visualization of 3D Projections

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New York Times Infographics and data visualizations | Small labs Inc.

New York Times Infographics and data visualizations | Small labs Inc. | K12 Student Data | Scoop.it

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BESegal's curator insight, March 7, 2013 7:33 PM

More evidence that the New York Times does some of the finest data visulization work around. This web site collects some of the best of the NYT's work.

Use this to see examples of what Edward Tufte calls "information dense" data visulization. Also note the frequent use of context. E.g. charts changes in U.S. Gross Domestic Product include the context of events like Oil Embargo's or the U.S. Deployment of its Armed Forces, or Stock Market Crashes or Bull runs.