Advances in Machine Learning and Data Science: Recent Achievements and Research Directives

Advances in Machine Learning and Data Science: Recent Achievements and Research Directives Front Cover
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380 pages

Book Description

The Volume of “Advances in Machine Learning and Data Science - Recent Achievements and Research Directives” constitutes the proceedings of First International Conference on Latest Advances in Machine Learning and Data Science (LAMDA 2017). The 37 regular papers presented in this volume were carefully reviewed and selected from 123 submissions.

These days we find many computer programs that exhibit various useful learning methods and commercial applications. Goal of machine learning is to develop computer programs that can learn from experience. Machine learning involves knowledge from various disciplines like, statistics, information theory, , computational complexity, cognitive science and biology. For problems like handwriting recognition, that are based on machine learning out perform all other approaches. Both machine learning and data science are interrelated. Data science is an umbrella term to be used for techniques that clean data and extract useful information from data. In field of data science, machine learning are used frequently to identify valuable knowledge from commercial databases containing records of different industries, financial transactions, medical records, etc.

The main objective of this book is to provide an overview on latest advancements in the field of machine learning and data science, with solutions to problems in field of image, video, data and graph processing, pattern recognition, data structuring, data clustering, pattern mining, association rule based approaches, feature extraction techniques, neural networks, bio inspired learning and various machine learning algorithms.

Table of Contents

Chapter 1 Optimization Of Adaptive Resonance Theory Neural Network Using Particle Swarm Optimization Technique
Chapter 2 Accelerating Airline Delay Prediction-Based P-Cuda Computing Environment
Chapter 3 Idpc-: Integrated Data Provenance Capture In
Chapter 4 Learning To Classify Marathi Questions And Identify Answer Type Using Machine Learning Technique
Chapter 5 A Clustering Algorithm For Context Change Detection In Sensor-Based Data Stream System
Chapter 5 Predicting High Blood Pressure Using Decision Tree-Based Algorithm
Chapter 7 Design Of Low-Power Area-Efficient Shift Register Using Transmission Gate
Chapter 8 Prediction And Analysis Of Liver Patient Data Using Linear Regression Technique
Chapter 9 Image Manipulation Detection Using Harris Corner And Anms
Chapter 10 Spatial Co-Location Pattern Mining Using Delaunay Triangulation
Chapter 11 Review On Rbfnn Design Approaches: A Case Study On Diabetes Data
Chapter 12 Keyphrase And Relation Extraction From Scientific Publications
Chapter 13 Mixing And Entrainment Characteristics Of Jet Control With Crosswire
Chapter 14 Gcv-Based Regularized Extreme Learning Machine For Facial Expression Recognition
Chapter 15 Prediction Of Social Dimensions In A Heterogeneous Social Network
Chapter 16 Game Theory-Based Defense Mechanisms Of Cyber Warfare
Chapter 17 Challenges Inherent In Building An Intelligent Paradigm For Tumor Detection Using Machine Learning Algorithms
Chapter 18 Segmentation Techniques For Computer-Aided Diagnosis Of Glaucoma: A Review
Chapter 19 Performance Analysis Of Information Retrieval Models On Word Pair Index Structure
Chapter 20 Fast Fingerprint Retrieval Using Minutiae Neighbor Structure
Chapter 21 Key Leader Analysis In Scientific Collaboration Network Using H-Type Hybrid Measures
Chapter 22 A Graph-Based Method For Clustering Of Gene Expression Data With Detection Of Functionally Inactive Genes And Noise
Chapter 23 Otawe-Optimized Topic-Adaptive Word Expansion For Cross Domain Sentiment Classification On Tweets
Chapter 24 Dcap—Data Confidentiality And Privacy In : Strategies And Challenges
Chapter 25 Design And Development Of A Knowledge-Based System For Diagnosing Diseases In Banana Plants
Chapter 26 A Review On Methods Applied On P300-Based Lie Detectors
Chapter 27 Implementation Of Spectral Subtraction Using Sub-Band Filtering In Dsp C6748 Processor For Enhancing Speech Signal
Chapter 28 In-Silico Analysis Of Lncrna-Mrna Target Prediction
Chapter 29 Energy Aware Gsa-Based Load Balancing Method In Cloud Computing Environment
Chapter 30 Relative Performance Evaluation Of Ensemble Classification With Feature Reduction In Credit Scoring Datasets
Chapter 31 Family-Based Algorithm For Recovering From Node Failure In Wsn
Chapter 32 Classification-Based Clustering Approach With Localized Sensor Nodes In Heterogeneous Wsn (Ccl)
Chapter 33 Multimodal Biometric Authentication System Using Local Hand Features
Chapter 34 Automatic Semantic Segmentation For Change Detection In Remote Sensing Images
Chapter 35 A Model For Determining Personality By Analyzing Off-Line Handwriting
Chapter 36 Wavelength-Convertible Switch Based On Cross-Gain Modulation Effect Of Soa
Chapter 37 Contrast Enhancement Algorithm For Ir Thermograms Using Optimal Temperature Thresholding And Contrast Stretching
Chapter 38 Data Deduplication And Fine-Grained Auditing On Big Data In Cloud Storage

Book Details

  • Title: Advances in Machine Learning and Data Science: Recent Achievements and Research Directives
  • Length: 380 pages
  • Edition: 1st ed. 2018
  • Language: English
  • Publisher:
  • Publication Date: 2018-06-27
  • ISBN-10: 9811085684
  • ISBN-13: 9789811085680
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