SAS business analytics forum 2011 kam
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SAS Business Analytics forum 2011 presentation - How to get more out of your data using structural equation models

SAS Business Analytics forum 2011 presentation - How to get more out of your data using structural equation models

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    SAS business analytics forum 2011 kam SAS business analytics forum 2011 kam Presentation Transcript

    • A Journey through theSpatial Data Mining andGeographic KnowledgeDiscovery JungleDr. Kam Tin Seong PhDAssociate Professor of Information Systems (Practice)School of Information SystemsSingapore Management UniversityE-mail: tskam@smu.edu.sg Copyright © 2011, SAS Institute Inc. All rights reserved.
    • Content Motivations Interactive exploratory analysis Distribution analysis Geographic data visualisation Visualising and detecting spatio-temporal patterns 2 Copyright © 2011, SAS Institute Inc. All rights reserved.
    • Motivations Availability of massive, high dimensional, and complex geospatially-referenced data General lack of spatial data visualisation and analysis functions in data analysis software General lack of data analytics techniques in conventional GIS There is an urgent need for effective and efficient methods to visualise and detect unknown and unexpected information from these massive datasets 3 Copyright © 2011, SAS Institute Inc. All rights reserved.
    • Taxi Travel Log Case Study One day taxi travel log – 278676 trips Number of variables: 53 4 Copyright © 2011, SAS Institute Inc. All rights reserved.
    • Initial Data exploration: Univariate Overview of the data Detect outliers Missing data Identify new variables 5 Copyright © 2011, SAS Institute Inc. All rights reserved.
    • Initial Data exploration: Bivariate 6 Copyright © 2011, SAS Institute Inc. All rights reserved.
    • Data Cleaning and Transformation Data cleaning Derive new variables: Time interval, travel time etc 7 Copyright © 2011, SAS Institute Inc. All rights reserved.
    • Geographic Data Visualisation 8 Copyright © 2011, SAS Institute Inc. All rights reserved.
    • Visualising and Detecting Spatio-temporalPatterns with Interactive Brushing 9 Copyright © 2011, SAS Institute Inc. All rights reserved.
    • Visualising and Detecting Spatio-temporalPatterns with Animated Map 10 Copyright © 2011, SAS Institute Inc. All rights reserved.
    • Visualising and Detecting Spatio-TemporalPatterns with Trellis Maps 11 Copyright © 2011, SAS Institute Inc. All rights reserved.
    • Visualising and Detecting Spatio-TemporalPoint Patterns 12 Copyright © 2011, SAS Institute Inc. All rights reserved.
    • Visualising and Detecting Spatio-TemporalPoint Patterns with Density Map 13 Copyright © 2011, SAS Institute Inc. All rights reserved.
    • Q&ACopyright © 2011, SAS Institute Inc. All rights reserved.