Mining Intelligence and Knowledge Exploration

Name: Mining Intelligence and Knowledge Exploration | 5th International Conference, MIKE 2017, Hyderabad, India, December 13-15, 2017, Proceedings
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5th International Conference, MIKE 2017, Hyderabad, India, December 13-15, 2017, Proceedings

Ashish Ghosh Rajarshi Pal Rajendra Prasath(Herausgeber*in)

Springer (Verlag)

Erschienen am 5. Dezember 2017

XX, 438 Seiten

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978-3-319-71928-3 (ISBN)

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Inhalt

Intro
Preface
Organization
Contents
Functional Link Artificial Neural Network for Multi-label Classification
1 Introduction
2 Related Works
3 Preliminaries
3.1 Functional Link Artificial Neural Network (FLANN)
3.2 Representation of Multi-label Data
4 The Proposed Multi-label FLANN (MLFLANN)
4.1 Architecture of the Network
4.2 Training Phase
4.3 Testing Phase
5 Experimental Details and Analysis of Results
5.1 Datasets Used
5.2 Results and Analysis
6 Conclusion
References
Emotion Recognition Through Facial Gestures - A Deep Learning Approach
Abstract
1 Introduction
2 Dataset
3 Preprocessing
4 Emotion Prediction Using SVM
5 System Architecture
5.1 Training Phase
5.2 Testing Phase
6 Convolutional Neural Network
7 Various Attempted Networks, Their Comparisons and the Selection of Proposed Network
8 Proposed Network Architecture
9 Results
10 Conclusion
References
Supervised Approaches to Assign Cooperative Patent Classification (CPC) Codes to Patents
1 Introduction
2 Related Work and Background
3 Datasets
4 Methods: Label Scoring, Reranking, and Thresholding
4.1 Label Scoring
4.2 Label (re)ranking
4.3 Label Cut-Off/Thresholding
5 Experiment and Results
6 Conclusion
References
A Betweenness Centrality Guided Clustering Algorithm and Its Applications to Cancer Diagnosis
1 Introduction
2 Clustering Using Betweenness Centrality on Spanning Subgraph
3 Experimental Analysis
4 Conclusion and Future Scope
References
MahalCUSFilter: A Hybrid Undersampling Method to Improve the Minority Classification Rate of Imbalanced Datasets
1 Introduction
2 Related Work
2.1 Undersampling
3 Proposed Method
3.1 Motivation for the Proposed Method
3.2 Theoritical Background of Proposed Method
3.3 Framework for the Proposed Method
3.4 Results
4 Conclusions
References
Bezier Curve Based Continuous Medial Representation for Shape Analysis: A Theoretical Framework
Abstract
1 Introduction
2 Proposed Methodology
3 Polygonal Approximation
4 Construction and Regularization of the Skeleton
5 Bezier Curve Description
6 Data Structure
7 Experimental Results
8 Conclusion
Acknowledgements
References
Trust Distrust Enhanced Recommendations Using an Effective Similarity Measure
1 Introduction
2 Related Work
2.1 Collaborative Filtering
2.2 Trust Model
3 Trust Distrust Enhanced Recommendation Framework
4 Experiment Setup
4.1 Design of Experiments
4.2 Performance Evaluation
4.3 Experiments
4.4 Result
5 Conclusion
References
Language Identification Based on the Variations in Intonation Using Multi-classifier Systems
Abstract
1 Introduction
2 Proposed Work
3 Implementation
4 Results and Discussion
5 Conclusion
Acknowledgment
References
Cognitive Decision Making for Navigation Assistance Based on Intent Recognition
1 Introduction
2 Model of Intention Prediction
2.1 Features
2.2 Intention Recognition
2.3 Orientation and Distance
3 Implementation and Results
3.1 Navigation Path
3.2 Avoiding Obstacle
4 Analysis
5 Conclusion
References
Clinical Intelligence: A Data Mining Study on Corneal Transplantation
Abstract
1 Introduction
2 Background
2.1 Cornea
2.2 Clinical Intelligence System
2.3 Related Work
3 Methods and Tools
4 Case Study
4.1 Business Understanding
4.2 Data Understanding
4.3 Data Preparation
4.4 Modeling
4.5 Evaluation
5 Discussion
6 Conclusions and Future Work
Acknowledgement
References
High-Quality Medical Image Compression Using Discrete Orthogonal Cosine Stockwell Transform and Optimal Integer Bit Allocated Quantization
Abstract
1 Introduction
2 Proposed Medical Image Codec
2.1 Designing of the Image Transformation Block for the Proposed Codec
2.2 Optimal Bit Allocated Quantization Block for the Proposed Codec
3 Results and Discussions
3.1 Time Complexity Analysis of the Proposed Medical Image Codec
4 Conclusions
References
Coprime Mapping Transformation for Protected and Revocable Fingerprint Template Generation
1 Introduction
1.1 Background
1.2 Existing Approaches
1.3 Contributions
2 Proposed Scheme
2.1 Pre-processing and Minutiae Extraction
2.2 Feature Extraction
2.3 Cancelable Template Generation
2.4 Matching
3 Experimental Results and Analysis
3.1 Validation of Parameter: Number of Sectors (s)
3.2 Performance
3.3 Baseline Comparison
3.4 Comparison with Existing Approaches
4 Security Analysis
4.1 Irreversibility Analysis
4.2 Revocability Analysis
4.3 Diversity Analysis
5 Conclusion
References
Supervised Asymmetric Metric Extraction: An Approach to Combine Distances
1 Introduction
2 Metric Approaches in Machine Learning
3 Supervised Asymmetric Metric Extraction
4 Biometric Applications
4.1 Datasets and Original Metrics
4.2 Learned Metrics
4.3 Performance Test
5 Conclusion
References
Interval-Valued Writer-Dependent Global Features for Off-line Signature Verification
Abstract
1 Introduction
2 Proposed Method
2.1 Feature Computation
2.2 Selection of Writer-Dependent Features
2.3 Fixation of Feature Dimension and Threshold for Individual Writer
2.4 Clustering and Creation of Interval-Valued Feature Vector
2.5 Verification
3 Experimentation and Results
4 Comparative Analysis
5 Conclusion
References
Despeckling with Structure Preservation in Clinical Ultrasound Images Using Historical Edge Information Weighted Regularizer
1 Introduction
2 Proposed Approach
3 Experimental Analysis
3.1 Dataset
3.2 Result and Analysis
4 Conclusion
References
Fingerprint Image Quality Assessment and Scoring
1 Introduction
2 Related Work
3 Proposed Method
3.1 Block Quality Labeling
3.2 Fingerprint Quality Score Computation
4 Experimental Results
5 Conclusions
References
A Multi-objective Evolutionary Algorithm for Color Image Segmentation
1 Introduction
2 Proposed Approach
2.1 Representation of Individuals
2.2 Generation of Initial Segments
2.3 Objective Functions
2.4 Evolutionary Operators
3 Evaluation Criterion: Modified PRI
4 Experiments and Results
4.1 Experimental Setup
4.2 Results and Discussion
5 Conclusion
References
Face Recognition by RBF with Wavelet, DCV and Modified LBP Operator Face Representation Methods
Abstract
1 Introduction
2 Face Representation
2.1 Wavelet Transformation
2.2 Wavelet Packet Transformation
2.3 Discriminative Common Vector
2.4 Proposed Local Binary Pattern
3 Recognition by Radial Basis Function Neural Network
3.1 Algorithm
4 Results and Discussions
5 Conclusion
References
DNN-HMM Acoustic Modeling for Large Vocabulary Telugu Speech Recognition
1 Introduction
2 IIIT-H Telugu Speech Corpus
3 System Overview
4 DNN-HMM Modeling
4.1 Deep Neural Networks
4.2 Ergodic HMMs
4.3 Training for DNN-HMM
4.4 Testing for DNN-HMM
5 Results and Discussion
6 Conclusion and Future Scope
References
Memetic Algorithm Based on Global-Best Harmony Search and Hill Climbing for Part of Speech Tagging
Abstract
1 Introduction
2 Related Works
2.1 Traditional Approaches to Build POS Taggers
2.2 Metaheuristic Algorithms as an Approach to Build POS Taggers
2.3 Tagsets for Tagging Corpus and Tagged Corpus
3 Harmony Search Algorithm
4 Algorithm Proposed for the Tagging Problem
4.1 Part-of-Speech Tagging (POST) Problem
4.2 Part-of-Speech Tagging as an Optimization Problem
4.3 Global-Best Harmony Search Tagger
5 Experiments, Analyses, and Comparisons
5.1 Configuration
5.2 Results
6 Conclusions and Future Work
Acknowledgements
References
A Study on Crossmodal Correspondence in Sensory Pathways Through Forced Choice Task and Frequency Ba ...
Abstract
1 Introduction
2 Theory
3 Materials and Methods
3.1 Participants
3.2 Stimuli
3.3 Procedure
3.4 Analysis of Words
4 Results and Discussion
5 Conclusions
References
Point Process Modeling of Spectral Peaks for Low Resource Robust Speech Recognition
1 Introduction
2 Baseline HMM Recognizer
3 Spectral Peak Based Point Process Representation of Speech
3.1 Identification of Spectral Peaks
3.2 Removal of Spurious Spectral Peaks
4 Bankwise Segmentation of Spectral Peaks
5 Point Process Model Based Isolated Word Recognizer
6 Experimentation and Results
7 Conclusion
References
Significance of DNN-AM for Multimodal Sentiment Analysis
1 Introduction
2 Databases
2.1 Spanish Database
2.2 Hindi Database
3 Audio Sentiment Classification
3.1 DNNAM
4 Sentiment Analysis Using Text Features
5 Multimodal Sentiment Analysis
6 Summary and Conclusions
References
Pattern Based Information Retrieval Approach to Discover Extremist Information on the Internet
Abstract
1 Introduction
2 Proposed Approach
2.1 General Scheme
2.2 "N-Gram Vs Sentence" Matrix Text Representation Model
2.3 Extracting Hidden Topics Using ONMF
2.4 Using N-Gram Based Topics for Keywords Extraction and Document's Relevance Estimation
3 Experimental Evaluation
4 Conclusions
Acknowledgment
References
A Concept Driven Graph Based Approach for Estimating the Focus Time of a Document
1 Introduction
2 Related Work
3 Background
4 Our Approach
5 Experimental Setup
5.1 Datasets
5.2 Models Compared
5.3 Evaluation Metrics
6 Results
7 Conclusion
References
Query Morphing: A Proximity-Based Approach for Data Exploration and Query Reformulation
Abstract
1 Introduction
1.1 Contribution and Outline
2 Literature Review
3 Query Morphing: A Data Exploration Approach
3.1 Proposed Approach
4 Design Issues and Analysis
5 Conclusion
References
WikiSeeAlso: Suggesting Tangentially Related Concepts (See also links) for Wikipedia Articles
1 Introduction
2 Background
3 WikiSeeAlso
3.1 Candidate Generation
3.2 Candidate Ranking
4 Empirical Evaluation
4.1 Datasets
4.2 Performance Measures
4.3 Implementation Details
4.4 Results
5 Discussion
5.1 Existing approaches
5.2 Empirical Comparison
5.3 Case Studies
6 Conclusions and Future Directions
References
Integrating Knowledge Encoded by Linguistic Phenomena of Indian Languages with Neural Machine Translation
1 Introduction
2 Related Work
3 System Architecture
4 Datasets and Resources
5 Experiments and Results
5.1 Building 110 Baseline NMT Systems for Indian Languages
5.2 Exploiting Linguistic Information to Aid NMT
6 Conclusion and Future Work
References
Partitioned-Based Clustering Approaches for Single Document Extractive Text Summarization
Abstract
1 Introduction
2 Proposed Work
2.1 Pre-processing
2.2 Feature Extraction
2.3 Learning k in k-means
2.4 Clustering
2.5 Post-processing
3 Evaluation and Results
4 Conclusion
References
Arousal Prediction of News Articles in Social Media
1 Introduction
2 Related Work
3 Methodology
3.1 Finding the Posts of High Arousal
3.2 Generate the Candidate Features
3.3 Feature Selection
3.4 Arousal Based Post Classification
3.5 Determining the Topics of High Arousal
4 Evaluations
4.1 Experimental Setup
4.2 Effectiveness of Methods
4.3 Analyzing the Topics of High Arousal
5 Conclusion
References
Sentiment Analysis of Tweets in Malayalam Using Long Short-Term Memory Units and Convolutional Neural Nets
1 Introduction
2 Related Work
3 Background
3.1 Recurrent Neural Network or RNN
3.2 Long Short-Term Memory or LSTM
3.3 Convolutional Neural Network or CNN
3.4 Regularization via Dropout
3.5 Training and Softmax Classifier
4 Experiment and Evaluations
4.1 Dataset
4.2 Models
4.3 Result and Discussion
5 Conclusion and Future Work
References
Improved Community Interaction Through Context Based Citation Analysis
1 Introduction
1.1 Related Work
1.2 Contribution
2 Dataset Description
2.1 Field Tagging
2.2 Classification of Papers into Single Communities
3 Construction of the Citation Network
3.1 Preprocessing
3.2 Citation Network
3.3 Term Labelled Citation Network
4 Proposed Methodology
4.1 Tagging Papers with a Set of Keywords
4.2 Similarity of Term Sets
5 Community Network
6 Metrics Evaluation and Comparison
6.1 Detailed Analysis of the Transitions in Graph
7 Conclusion
References
Mining Informative Words from the Tweets for Detecting the Resources During Disaster
1 Introduction
2 Related Work
3 Proposed Method
3.1 Tweet Collection
3.2 Pre-processing of Tweets
3.3 Feature Extraction and Training Phase
3.4 Testing Phase
4 Experimental Results and Analysis
4.1 Data-Set
4.2 Performance Measures
5 Conclusion
References
An Ensemble Based Method for Predicting Emotion Intensity of Tweets
1 Introduction
2 Related Work
3 Problem Definition
4 Methodology
4.1 Convolution Neural Networks (CNN)
4.2 Extreme Gradient Boosting (XGBoost)
4.3 Support Vector Regression (SVR)
4.4 Ensemble
5 Experiments
5.1 Data
5.2 Evaluation Metrics
5.3 Results and Discussions
6 Conclusion
References
A Graph-Based Frequent Sequence Mining Approach to Text Compression
1 Introduction
2 Related Work
3 Flow of Proposed Graph-Based Text Compression
4 Frequent Sequence Mining-Based Text Compression Algorithm
5 Results and Discussions
6 Conclusion
References
ULR-Discr: A New Unsupervised Approach for Discretization
1 Introduction
2 Related Work
3 ULR-Discr Framework
3.1 A Brief Overview of ChiMerge and Chi2
3.2 The Proposed ULR-Discr Algorithm
3.3 Lex as a Tool for Numeric Discretization
4 The Used Statistics
4.1 Using the 2 statistic
4.2 Using the Distance of Manhattan
4.3 Using the Pearson Coefficient
5 Experimental Results
5.1 The Tested Datasets
5.2 Experimental Results for ULR-Discr
5.3 Comparing Different Variants of ULR-Discr with ZDisc
6 Conclusion
References
Identifying Terrorist Index (T+) for Ranking Homogeneous Twitter Users and Groups by Employing Citation Parameters and Vulnerability Lexicon
Abstract
1 Introduction
2 Related Work
3 Dataset Preparation
3.1 Stage 1: Preparation of List of Seed Words (Seedlist)
3.2 Stage 2: List of Terrorist Code Words (Codelist)
3.3 Stage 3: Preparation of List of Current Terrorist Crimes Dates (Crimelist)
3.4 Stage 4: Dataset of Crawled Tweet Texts with Details
3.5 Stage 5: Dataset of Each Specific Tweet's Conversation Details
3.6 Stage 6: Dataset of Each Specific User's Timeline Details
4 Methodology
4.1 Homogeneous Group Formation
4.2 Citation Analysis of Twitter Users
4.2.1 Counts of Total Citations
4.2.2 Identification of Citation Indices (h-Index and i10-Index)
4.3 Preparation of Vulnerability Lexicon
4.3.1 Seed Word Lexicon Analysis
4.3.2 Code Word Lexicon Analysis
4.3.3 Parts-of-Speech (POS) Tags
4.3.4 Named Entity Tags
4.4 Ranking of Twitter Users
4.5 Ranking of Homogeneous Twitter Groups
5 Results and Analysis
5.1 Analysis of Users' Ranking
5.2 Analysis of Homogeneous Groups' Ranking
6 Conclusion and Future Work
References
Soft Metaphor Detection Using Fuzzy c-Means
1 Introduction
2 Related Work
3 Soft Metaphor Detection Using Fuzzy c-Means
3.1 Problem Representation
3.2 Feature Extraction
3.3 Fuzzy c-Means
3.4 Experiments and Results
4 Conclusion
References
A Study on CART Based on Maximum Probabilistic-Based Rough Set
Abstract
1 Introduction
2 Theoretical Background
2.1 Pawlak's Rough Set Model [9, 13]
2.2 Bayesian Decision Theoretic Rough Set [1, 2, 8, 15]
2.3 Maximum Probabilistic Based Rough Set [7, 9, 18]
2.4 Decision Tree: CART [3, 10, 11, 17]
3 Implementation of MPBRS-Based CART
3.1 Processing Steps
3.2 Algorithm
3.3 Execution of CART and MPBRS-Based CART in R Environment
4 Experimental Results and Discussion
5 Conclusion
References
Portfolio Optimization in Dynamic Environments Using MemSPEAII
1 Introduction
2 Related Works
3 Portfolio Optimization
4 Proposed Method
4.1 Evolution Architecture
4.2 Trading Architecture
4.3 Memory Enhanced SPEAII
4.4 Choosing from Evolved Pareto Front
5 Experimental Setup
5.1 Data and Parameters
5.2 Walk Forward Testing
5.3 Comparative Study
6 Results and Discussions
7 Conclusion
References
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