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Intro; Preface; Contents; About the Editors; 1 Optimization of Adaptive Resonance Theory Neural Network Using Particle Swarm Optimization Technique; Abstract; 1 Introduction; 2 Theoretical Background; 2.1 Particle Swarm Optimization; 2.2 Adaptive Resonance Theory; 3 Proposed Method; 4 Evaluation Criteria; 5 Conclusion; References; 2 Accelerating Airline Delay Prediction-Based P-CUDA Computing Environment; Abstract; 1 Introduction; 1.1 Limitations of Classical ML Methodology; 2 Resolving with CUDA Platform; 2.1 CUDA; 2.2 Impact on Solving ML Problems
3 Problem Formulation: Predicting Flight Delay Occurrences3.1 Solution: Sequential Naïve Bayes Classifier; 3.1.1 Naïve Bayes Classifier; 3.1.2 Normal Distribution; 3.2 Methodology: Predicting Airline Delays; 3.2.1 Training the Model; 3.2.2 Testing; 4 Parallelizing the Approach; 4.1 Parallelizing Testing Phase; 4.2 Experimental Analysis; 5 Conclusion and Future Work; Acknowledgements; References; 3 IDPC-XML: Integrated Data Provenance Capture in XML; Abstract; 1 Introduction; 2 Related Works; 3 Data Provenance Approach; 3.1 Data Provenance Model; 3.2 Data Provenance Analysis
4 Proposed System Architecture4.1 Capturing Provenance; 4.2 Result: Visualization of Provenance Data; 5 Conclusions; Acknowledgements; References; Learning to Classify Marathi Questions and Identify Answer Type Using Machine Learning Technique; 1 Introduction; 2 Background Research; 2.1 ``Learning Question Classifiers: The Role of Semantic Information''-Xin Li and Dan Roth; 2.2 ``From Symbolic to Sub-symbolic Information in Question Classification''-Joao Silva, Luisa Coheur, Ana Cristina Mendes, and Andreas Wichert
2.3 ``Answer ka type kya he?'' Learning to Classify Questions in Code-Mixed Language-Khyathi C. Raghvavi, Manoj Chinnakotla, and Manish Shrivastava3 Data Creation; 4 Question Classification System; 4.1 Translation Approach; 4.2 Direct Approach; 5 Results and Experiments; 6 Error Analysis; 7 Conclusion and Future Work; References; 5 A Dynamic Clustering Algorithm for Context Change Detection in Sensor-Based Data Stream System; Abstract; 1 Introduction; 2 Related Work; 3 Proposed Dynamic Clustering Algorithm (Dclust); 4 Experiments; 4.1 Datasets; 4.2 Experimental Setting
4.3 Results and Discussion5 Conclusion; References; Predicting High Blood Pressure Using Decision Tree-Based Algorithm; 1 Introduction; 2 Background Work; 2.1 Factors Effecting BP; 2.2 Impact of Age, Obesity, and Cholesterol on Hypertension; 2.3 Nervous System; 2.4 How Brain Monitors BP; 3 Proposed Methodology; 4 Experimental Result and Analysis; 5 Conclusion and Future Work; References; 7 Design of Low-Power Area-Efficient Shift Register Using Transmission Gate; Abstract; 1 Introduction; 2 Transmission Gate; 3 Static Differential Sense Amplifier Shared Pulsed Latch
3 Problem Formulation: Predicting Flight Delay Occurrences3.1 Solution: Sequential Naïve Bayes Classifier; 3.1.1 Naïve Bayes Classifier; 3.1.2 Normal Distribution; 3.2 Methodology: Predicting Airline Delays; 3.2.1 Training the Model; 3.2.2 Testing; 4 Parallelizing the Approach; 4.1 Parallelizing Testing Phase; 4.2 Experimental Analysis; 5 Conclusion and Future Work; Acknowledgements; References; 3 IDPC-XML: Integrated Data Provenance Capture in XML; Abstract; 1 Introduction; 2 Related Works; 3 Data Provenance Approach; 3.1 Data Provenance Model; 3.2 Data Provenance Analysis
4 Proposed System Architecture4.1 Capturing Provenance; 4.2 Result: Visualization of Provenance Data; 5 Conclusions; Acknowledgements; References; Learning to Classify Marathi Questions and Identify Answer Type Using Machine Learning Technique; 1 Introduction; 2 Background Research; 2.1 ``Learning Question Classifiers: The Role of Semantic Information''-Xin Li and Dan Roth; 2.2 ``From Symbolic to Sub-symbolic Information in Question Classification''-Joao Silva, Luisa Coheur, Ana Cristina Mendes, and Andreas Wichert
2.3 ``Answer ka type kya he?'' Learning to Classify Questions in Code-Mixed Language-Khyathi C. Raghvavi, Manoj Chinnakotla, and Manish Shrivastava3 Data Creation; 4 Question Classification System; 4.1 Translation Approach; 4.2 Direct Approach; 5 Results and Experiments; 6 Error Analysis; 7 Conclusion and Future Work; References; 5 A Dynamic Clustering Algorithm for Context Change Detection in Sensor-Based Data Stream System; Abstract; 1 Introduction; 2 Related Work; 3 Proposed Dynamic Clustering Algorithm (Dclust); 4 Experiments; 4.1 Datasets; 4.2 Experimental Setting
4.3 Results and Discussion5 Conclusion; References; Predicting High Blood Pressure Using Decision Tree-Based Algorithm; 1 Introduction; 2 Background Work; 2.1 Factors Effecting BP; 2.2 Impact of Age, Obesity, and Cholesterol on Hypertension; 2.3 Nervous System; 2.4 How Brain Monitors BP; 3 Proposed Methodology; 4 Experimental Result and Analysis; 5 Conclusion and Future Work; References; 7 Design of Low-Power Area-Efficient Shift Register Using Transmission Gate; Abstract; 1 Introduction; 2 Transmission Gate; 3 Static Differential Sense Amplifier Shared Pulsed Latch