Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques - Info and Reading Options

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Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Exhaustive Hybrid Posting Lists Traversing Technique -- Abstract -- 1 Introduction -- 2 Background and Related Work -- 2.1 Inverted Index -- 2.2 Index Traversal -- 3 Hybrid Exhaustive Index Traversal -- 3.1 Hybrid Scoring at a Time -- 3.2 Posting List Iterator -- 4 Experiments -- 4.1 Query Latency -- 4.2 Processed Elements -- 5 Conclusions -- References -- Control Parameters Optimization for Spacecraft Large Angle Attitude Based on Multi-PSO -- Abstract -- 1 Introduction -- 2 Mathematical Model and Control Law Design -- 2.1 The Attitude Dynamics and Kinematics Model -- 2.2 Control Law Design -- 3 The Controller Parameter Optimization -- 3.1 Attitude Maneuver Controller Parameter Optimization Model -- 3.2 Multi-objective PSO Algorithm -- 4 Simulation -- 5 Conclusion -- 6 Acknowledgements -- References -- Analysis of the Time Characteristics of Network Water Army Based on BBS Information -- Abstract -- 1 Introduction -- 2 Data Acquisition and Processing -- 2.1 Data Acquisition -- 2.2 Data Processing -- 2.3 Network Building -- 3 Time Features of the Water Army -- 3.1 Data Analysis -- 3.2 Analysis the Water Army Behavior by the Hour Cycle -- 3.3 The Water Army Behavior Analysis by a Day -- 3.4 Absolute and Relative Time Analysis -- 4 Analysis the Organizational Structure of the Water Army -- 5 Conclusion -- References -- Aspect and Sentiment Unification Model for Twitter Analysis -- Abstract -- 1 Introduction -- 2 Related Work -- 3 PL-SASU Model -- 3.1 PL-SASU Model -- 3.2 Model Inference -- 3.3 Sentiment and Aspect Classification -- 4 Experimental Setup -- 4.1 Datasets -- 4.2 Sentiment Seed Words -- 4.3 Sentiment Labels -- 4.4 Aspect Labels -- 4.5 Hyperparameter Settings -- 5 Experimental Results and Analysis -- 5.1 Sentiment Classification

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