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  • 1
    Online Resource
    Online Resource
    Singapore : Springer
    UID:
    (DE-627)1859570690
    Format: 1 Online-Resource (217 Seite)
    Edition: 1st ed.
    ISBN: 9789819935888
    Series Statement: Advanced Studies in E-Commerce Series
    Content: Intro -- Preface -- I. Why Write a Book -- II. Organization of the Book -- III. Target Readers -- IV. Study Suggestions -- Acknowledgements -- Contents -- About the Author -- 1 Introduction -- 1.1 Overview of Business Big Data Mining and Applications -- 1.2 Big Data Infrastructure -- 1.2.1 Infrastructure Layer -- 1.2.2 Big Data Layer -- 1.3 Overview of Big Data Research in Commerce -- 1.3.1 Big Data Fusion -- 1.3.2 Knowledge Fusion -- 1.3.3 Trajectory Big Data Mining -- 1.3.4 Knowledge Graphs -- 1.3.5 User Portraits -- 1.3.6 E-Commerce Recommendation System -- References -- 2 Data Collection in the Era of Big Data -- 2.1 Data Types of Business Big Data -- 2.1.1 Structured Data -- 2.1.2 Semi-structured Data -- 2.1.3 Unstructured Data -- 2.2 Online Business Big Data Collection Solution -- 2.2.1 Enterprise Data Collection -- 2.2.2 Web Crawler Data -- 2.2.3 Mobile Device Data -- 2.2.4 Database Data Collection -- 2.3 Offline Business Big Data Collection Solution -- 2.3.1 Physical Data Collection -- 2.3.2 Activity Data Collection -- 2.4 Cases of Business Big Data Collection -- 2.4.1 Precise User Portrait Description -- 2.4.2 Social Platform User Description -- 3 Pre-processing Big Data for Business -- 3.1 Business Big Data Pre-processing Techniques -- 3.1.1 Data Acquisition -- 3.1.2 Data Cleaning -- 3.1.3 Data Transformation -- 3.1.4 Data Integration -- 3.1.5 Data Imputation -- 3.2 Inconsistency Elimination Strategies for Multi-source Heterogeneous Commerce Big Data -- 3.3 Semantic Extraction and Analysis of Business Big Data -- 3.3.1 What Is Semantics -- 3.3.2 Semantic Analysis in Big Data -- 3.4 Business Big Data Pre-processing Case -- 4 Big Data Database for Business -- 4.1 Key-Value Store -- 4.1.1 Background to the Development of Key-Value Store -- 4.1.2 Key-Value Database Versus Relational Databases -- 4.1.3 Key Value Database Advantages.
    Note: Description based on publisher supplied metadata and other sources
    Additional Edition: 9789819935871
    Additional Edition: Erscheint auch als Druck-Ausgabe 9789819935871
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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