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Mining intelligence and knowledge exploration : 7th International Conference, MIKE 2019, Goa, India, December 19-22, 2019, Proceedings / Purushothama B.R., Veena Thenkanidiyoor, Rajendra Prasath, Odelu Vanga (eds.).

By: Contributor(s): Material type: TextTextSeries: Lecture notes in computer science ; 11987. | LNCS sublibrary. SL 7, Artificial intelligence.Publication details: Cham : Springer, 2020.Description: 1 online resource (357 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030661878
  • 3030661873
Other title:
  • MIKE 2019
Subject(s): Genre/Form: Additional physical formats: Print version:: Mining Intelligence and Knowledge Exploration.DDC classification:
  • 006.3/12 23
LOC classification:
  • QA76.9.D343
Online resources:
Contents:
Intro -- Preface -- Organization -- Contents -- On the Differences Between Human Agents and Logic-Based Software Agents Discourse Understanding -- 1 Interpretation Models in First Order Logic -- 2 Reducing the Interpretation Models of the Logical Agent -- 3 When More Models Are Better? -- 4 Discussion and Related Work -- 5 Conclusion -- References -- A Study on the Importance of Linguistic Suffixes in Maithili POS Tagger Development -- 1 Introduction -- 2 Related Work -- 3 Maithili POS Tagger Development Using CRF -- 3.1 Training Data -- 3.2 CRF Model Creation
3.3 Accuracy of CRF Based System -- 3.4 Discussions -- 4 Morphological Analysis for Improving Maithili POS Tagger -- 4.1 Inflections in Maithili Words -- 4.2 Accuracy with Morphological Suffixes -- 5 Conclusion -- References -- Text Cohesion in CQA -- Does It Impact Rating? -- 1 Introduction -- 2 Approach -- 3 Survey Results and Analysis -- 4 Conclusion -- References -- Person Name Segmentation with Deep Neural Networks -- 1 Introduction -- 2 Related Work -- 3 Problem Formulation -- 4 Proposed Approach -- 4.1 RNN-Based Segmenter -- 4.2 HMM-Based Segmenter -- 5 Experiments and Results
5.1 Dataset -- 5.2 Results -- 5.3 Visualization of the Learned Representations -- 6 Conclusion -- References -- Convex vs Convex-Concave Objective for Rare Label Classification -- 1 Introduction -- 2 Relatedwork -- 3 Approach -- 3.1 Graph Based Semi-supervised Learning for Binary Classification -- 3.2 KL-Divergence Based SSL -- 4 Experiments -- 4.1 Datasets -- 4.2 Results -- 5 Conclusion -- References -- Skew Aware Partitioning Techniques for Multi-way Spatial Join -- 1 Introduction -- 2 Spatial Join -- 3 Multi-way Spatial Join Techniques -- 3.1 Controlled-Replicate -- 3.2 SLC
3.3 BSP-Binary Split Partition Method -- 4 Results and Discussion -- 5 Conclusion and Future Work -- References -- The Relationship Between Sentiments of Social Media and Economic Indicators -- 1 Introduction -- 2 Related Work -- 2.1 The Relevant Indices of the Happiness Index -- 2.2 Sentiment Analysis -- 3 Research Methodology -- 3.1 Research Method -- 3.2 Data Collection -- 3.3 Calculation of Emotion Scores -- 4 Research Results -- 4.1 The Relationship Between Happiness Index and Forum Sentiment -- 4.2 The Relationship Between GDP Annual Rate of Increase and the Forum Sentiment
4.3 The Relationship Between GNI Annual Rate of Increase and the Forum Sentiment -- 5 Conclusion and Future Research -- References -- Entity and Verb Semantic Role Labelling for Tamil Biomedicine -- 1 Introduction -- 2 Related Works -- 3 SRL for Tamil Biomedical Texts -- 3.1 Domain-Specific Verb Semantic Roles -- 3.2 Feature Engineering and Verb Frame Extraction -- 3.3 Maximum Entropy Based Training Model -- 4 Experiments and Results -- 4.1 Dataset -- 4.2 Dependency Parse Tree -- 4.3 Experimental Setup -- 4.4 Combined Results and Discussion -- 5 Conclusion -- References
Summary: This book constitutes the refereed conference proceedings of the 7th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2019, held in Goa, India, in December 2019. The 31 full papers were carefully reviewed and selected from 83 submissions. The accepted papers were chosen on the basis of research excellence, which provides a body of literature for researchers involved in exploring, developing, and validating learning algorithms and knowledge-discovery techniques. Accepted papers were grouped into various subtopics including evolutionary computation, knowledge exploration in IoT, artificial intelligence, machine learning, image processing, pattern recognition, speech processing, information retrieval, natural language processing, social network analysis, security, fuzzy rough sets, and other areas.
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library eBook LNCS Available
Total holds: 0

Intro -- Preface -- Organization -- Contents -- On the Differences Between Human Agents and Logic-Based Software Agents Discourse Understanding -- 1 Interpretation Models in First Order Logic -- 2 Reducing the Interpretation Models of the Logical Agent -- 3 When More Models Are Better? -- 4 Discussion and Related Work -- 5 Conclusion -- References -- A Study on the Importance of Linguistic Suffixes in Maithili POS Tagger Development -- 1 Introduction -- 2 Related Work -- 3 Maithili POS Tagger Development Using CRF -- 3.1 Training Data -- 3.2 CRF Model Creation

3.3 Accuracy of CRF Based System -- 3.4 Discussions -- 4 Morphological Analysis for Improving Maithili POS Tagger -- 4.1 Inflections in Maithili Words -- 4.2 Accuracy with Morphological Suffixes -- 5 Conclusion -- References -- Text Cohesion in CQA -- Does It Impact Rating? -- 1 Introduction -- 2 Approach -- 3 Survey Results and Analysis -- 4 Conclusion -- References -- Person Name Segmentation with Deep Neural Networks -- 1 Introduction -- 2 Related Work -- 3 Problem Formulation -- 4 Proposed Approach -- 4.1 RNN-Based Segmenter -- 4.2 HMM-Based Segmenter -- 5 Experiments and Results

5.1 Dataset -- 5.2 Results -- 5.3 Visualization of the Learned Representations -- 6 Conclusion -- References -- Convex vs Convex-Concave Objective for Rare Label Classification -- 1 Introduction -- 2 Relatedwork -- 3 Approach -- 3.1 Graph Based Semi-supervised Learning for Binary Classification -- 3.2 KL-Divergence Based SSL -- 4 Experiments -- 4.1 Datasets -- 4.2 Results -- 5 Conclusion -- References -- Skew Aware Partitioning Techniques for Multi-way Spatial Join -- 1 Introduction -- 2 Spatial Join -- 3 Multi-way Spatial Join Techniques -- 3.1 Controlled-Replicate -- 3.2 SLC

3.3 BSP-Binary Split Partition Method -- 4 Results and Discussion -- 5 Conclusion and Future Work -- References -- The Relationship Between Sentiments of Social Media and Economic Indicators -- 1 Introduction -- 2 Related Work -- 2.1 The Relevant Indices of the Happiness Index -- 2.2 Sentiment Analysis -- 3 Research Methodology -- 3.1 Research Method -- 3.2 Data Collection -- 3.3 Calculation of Emotion Scores -- 4 Research Results -- 4.1 The Relationship Between Happiness Index and Forum Sentiment -- 4.2 The Relationship Between GDP Annual Rate of Increase and the Forum Sentiment

4.3 The Relationship Between GNI Annual Rate of Increase and the Forum Sentiment -- 5 Conclusion and Future Research -- References -- Entity and Verb Semantic Role Labelling for Tamil Biomedicine -- 1 Introduction -- 2 Related Works -- 3 SRL for Tamil Biomedical Texts -- 3.1 Domain-Specific Verb Semantic Roles -- 3.2 Feature Engineering and Verb Frame Extraction -- 3.3 Maximum Entropy Based Training Model -- 4 Experiments and Results -- 4.1 Dataset -- 4.2 Dependency Parse Tree -- 4.3 Experimental Setup -- 4.4 Combined Results and Discussion -- 5 Conclusion -- References

Includes author index.

Exploring Chinese Dynamic Sentiment/Emotion Analysis with Text Mining-Taiwanese Popular Movie Reviews Comment as a Case.

This book constitutes the refereed conference proceedings of the 7th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2019, held in Goa, India, in December 2019. The 31 full papers were carefully reviewed and selected from 83 submissions. The accepted papers were chosen on the basis of research excellence, which provides a body of literature for researchers involved in exploring, developing, and validating learning algorithms and knowledge-discovery techniques. Accepted papers were grouped into various subtopics including evolutionary computation, knowledge exploration in IoT, artificial intelligence, machine learning, image processing, pattern recognition, speech processing, information retrieval, natural language processing, social network analysis, security, fuzzy rough sets, and other areas.

Online resource; title from PDF title page (SpringerLink, viewed February 17, 2021).

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