Recent Developments in Machine Learning and Data Analytics: IC3 2018

525 Pages·2019·22.779 MB·English

by  Jugal Kalita, Valentina Emilia Balas, Samarjeet Borah, Ratika Pradhan

Advances in Intelligent Systems and Computing 740
Jugal Kalita · Valentina Emilia Balas 
Samarjeet Borah · Ratika Pradhan
Editors
Recent
Developments in
Machine Learning
and Data Analytics
IC3 2018
Advances in Intelligent Systems and Computing
Volume 740
Series editor
Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland
e-mail: [email protected]
The series “Advances in Intelligent Systems and Computing” contains publications on theory,
applications, and design methods of Intelligent Systems and Intelligent Computing. Virtually all
disciplines such as engineering, natural sciences, computer and information science, ICT, economics,
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intelligentnetworksecurity,trustmanagement,interactiveentertainment,Webintelligenceandmultimedia.
Thepublicationswithin“AdvancesinIntelligentSystemsandComputing”areprimarilyproceedings
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Chairman
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Moreinformationaboutthisseriesathttp://www.springer.com/series/11156
Jugal Kalita Valentina Emilia Balas
(cid:129)
Samarjeet Borah Ratika Pradhan
(cid:129)
Editors
Recent Developments
in Machine Learning
and Data Analytics
IC3 2018
123
Editors
Jugal Kalita Samarjeet Borah
CollegeofEngineeringandAppliedScience Department ofComputer Applications
University of Colorado ColoradoSprings Sikkim Manipal University
ColoradoSprings, CO,USA Sikkim,India
Valentina EmiliaBalas Ratika Pradhan
Automation andApplied Informatics Department ofComputer Applications
AurelVlaicu University of Arad Sikkim Manipal University
Arad,Romania Sikkim,India
ISSN 2194-5357 ISSN 2194-5365 (electronic)
Advances in Intelligent Systems andComputing
ISBN978-981-13-1279-3 ISBN978-981-13-1280-9 (eBook)
https://doi.org/10.1007/978-981-13-1280-9
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Preface
Recent Developments in Machine Learning and Data Analytics is a collection of
research findings of the Second International Conference on Computing and
Communication. The conference is centered upon the theme of machine learning
and data analytics.
The works incorporated in this volume can roughly be divided into three parts,
namely data analytics, natural language processing, and soft computing. The fol-
lowing section contains a brief information about the various contributions to this
volume.
In the first paper, Aski et al. provide an architectural overview of IoT-enabled
ubiquitous healthcare data acquisition and monitoring system for personal and
medical usage powered by cloud application. The next one is also an IoT-based
paper where Ishita Chakraborty, Anannya Chakraborty, and Prodipto Das discuss
sensor selection and data fusion approach for IoT applications. An overview of
HadoopMapReduce,Spark,andscalablegraphprocessingarchitectureisprovided
by Talan et al. in their paper. On the other hand, Hore et al. discuss a machine
intelligence-based approach to analyze social trend toward girl child in India.
Analyzing class-imbalanced data is found to be a difficult task always. In the next
paper, an improvement in boosting method for class-imbalanced datasets is dis-
cussed by Kumar et al. In their paper, Ambika Choudhury and Deepak Gupta
provide a survey on medical diagnosis of diabetes using machine learning tech-
niques.Anotherclassification-relatedissueondiabetesdataispresentedbySantosh
Kumar Majhi in his research work. Findings on the usefulness of big data tech-
nologies for statistical homicide dataset are discussed by Askew et al. The next
research work discusses a journal recommendation system through content-based
filtering approach. Another content-based filtering and collaborative filtering
technique for movie recommendation is provided by Bharti et al in their research
work.
The next 13 contributions are from the domain of natural language processing.
The first work of such kind discusses a word-sense disambiguation for Assamese
language. In addition to this, other two works are found for Assamese language
where Choudhury et al. present a context-sensitive spelling checker for Assamese
v
vi Preface
language and Mirzanur Rahman and Shikhar Kumar Sarma discuss a hybrid
approachtoanalyzethemorphologyofanAssameseword.Thenextworkpresents
an aptitude question paper generator and answer verification system. Ghosh et al.
discuss affinity maturation of homophones in a word-level speech recognition in
their work. This follows a discussion on feature map reduction in CNN for hand-
written digit recognition. Multilingual text localization from camera-captured
images is presented by Dutta et al. The technique is based on foreground homo-
geneity analysis. Jajoo et al. propose script identification from camera-captured
multiscriptscenetextcomponentsintheirresearchwork.Again,Khanetal.present
adistancetransform-basedstrokefeaturedescriptorfortext–non-textclassification.
The volume also includes a contribution on emotion mining. This follows two
worksonNepalilanguage,whereThapaetal.discussafingerspellingrecognition
for Nepali sign language and Yajnik et al. present a work on parsing in Nepali
language.
Anumberofcontributionsarefoundwhichcanroughlybecategorizedunderthe
domain of soft computing. Mishra et al. discuss a BFS-NB hybrid model in
intrusion detection system, whereas Saikia et al. propose an effective alert corre-
lation method in their research work. An application of ensemble random forest
classifier for detecting financial statement manipulation of listed Indian companies
is discussed by Hiral Patel and co-authors. Another security-related paper is dis-
cussedondynamicshiftinggeneticnon-adjacentformellipticcurveDiffie–Hellman
key exchange procedure for IoT heterogeneous network. This follows few
classification-related works, where Vijaya et al. discuss fuzzy clustering with
ensemble classification techniques to improve the customer churn prediction in
telecommunication sector and Ahmed et al. propose a technique to remove the
bottleneck of FP tree. Additional works include elephant herding algorithm,
improved K-NN algorithm through class discernibility and cohesiveness, a
reduction-level fusion of PCA and random projection for high-dimensional data, a
stable clustering algorithm for mobile ad hoc networks (MANETs), and
interval-valued complex fuzzy concept lattice and its granular decomposition.
Umesh Gupta and Deepak Gupta discuss their findings on twin-bounded support
vectormachinebasedonL2-norm.Aworktoperformnaturalscenelabelingusing
neuralnetworksispresentedbyDasetal.Kalvapallietalpresenttheirfindingsona
city-scale transportation system using XGBoost. A selfish controlled scheme in an
opportunistic mobile communication network is presented by Moirangthem Tiken
Singh and Surajit Borkotokey. Few quality works on image processing techniques
are also included in this volume. The first part of these papers discusses a
fusion-based underwater image enhancement using weight map techniques. The
next work proposes an algorithm for automatic segmentation of pancreas histo-
logical images for glucose intolerance identification. An edge detection technique
using ACO with PSO for the noisy image is discussed by Aditya Gautam and
Mantosh Biswas in their research work. Another work discusses improved con-
volutional neural networks for hyperspectral image classification. Mohanraj et al.
present a neural network-based approach for face recognition. A method on auto-
matedvisioninspectionsystemforcylindrical metallic componentsisproposedby
Preface vii
Govindaraj and co-authors in their research work. The volume also includes a
research work on gene selection of microarray datasets. A case study on
geo-statistical modeling of remote sensing data for forest carbon estimation is
presented by Kumar et al. Finally, it includes a study of DC–DC converters with
MPPT for stand-alone solar water pumping.
IC32018representsaglobalforumforresearchoncomputationalapproachesto
learning. It includes mostly the current works and research findings from various
researchlaboratories,universities,andinstitutionsandmayleadtothedevelopment
ofmarket-demandedproducts.Theworksreportsubstantiveresultsonawiderange
of learning methods applied to a variety of learning problems. It provides solid
support via empirical studies, theoretical analysis, or comparison to psychological
phenomena.Thevolumeincludesworkstoshowhowtoapplylearningmethodsto
solve important application problems as well as how machine learning research is
conducted.
The volume editorsare very thankful to all theauthors, contributors, reviewers,
and the publisher for making this effort a successful one.
Colorado Springs, USA Jugal Kalita
Arad, Romania Valentina Emilia Balas
Sikkim, India Samarjeet Borah
Sikkim, India Ratika Pradhan
Contents
IoTEnabledUbiquitousHealthcareDataAcquisitionandMonitoring
System for Personal and Medical Usage Powered by Cloud
Application: An Architectural Overview . . . . . . . . . . . . . . . . . . . . . . . . 1
Vidhaydhar J. Aski, Shubham Sanjay Sonawane and Ujjwal Soni
Sensor Selection and Data Fusion Approach for IoT Applications. . . . . 17
Ishita Chakraborty, Anannya Chakraborty and Prodipto Das
An Overview of Hadoop MapReduce, Spark, and Scalable Graph
Processing Architecture . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
Pooja P. Talan, Kartik U. Sharma, Pratiksha P. Nawade
and Karishma P. Talan
Analyzing Social Trend Towards Girl Child in India: A Machine
Intelligence-Based Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43
Sirshendu Hore and Tanmay Bhattacharya
Improvement in Boosting Method by Using RUSTBoost Technique
for Class Imbalanced Data. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51
Ashutosh Kumar, Roshan Bharti, Deepak Gupta and Anish Kumar Saha
A Survey on Medical Diagnosis of Diabetes Using Machine Learning
Techniques . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67
Ambika Choudhury and Deepak Gupta
How Effective Is the Moth-Flame Optimization in Diabetes Data
Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79
Santosh Kumar Majhi
Evaluating Big Data Technologies for Statistical Homicide Dataset . . . . 89
Roland Askew, Sreenivas Sremath Tirumala and G. Anjan Babu
Journal Recommendation System Using Content-Based Filtering . . . . . 99
Sonal Jain, Harshita Khangarot and Shivank Singh
ix
x Contents
Recommending Top N Movies Using Content-Based Filtering
and Collaborative Filtering with Hadoop and Hive Framework . . . . . . 109
Roshan Bharti and Deepak Gupta
WSD for Assamese Language . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119
Pranjal Protim Borah, Gitimoni Talukdar and Arup Baruah
Aptitude Question Paper Generator and Answer
Verification System. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129
Meghna Saikia, Saini Chakraborty, Suranjan Barman
and Sarat Kr. Chettri
Affinity Maturation of Homophones in Word-Level Speech
Recognition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137
P. Ghosh, T. S. Chingtham and M. K. Ghose
Feature Map Reduction in CNN for Handwritten
Digit Recognition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143
Sinjan Chakraborty, Sayantan Paul, Ram Sarkar and Mita Nasipuri
Multi-lingual Text Localization from Camera Captured Images
Based on Foreground Homogenity Analysis. . . . . . . . . . . . . . . . . . . . . . 149
Indra Narayan Dutta, Neelotpal Chakraborty, Ayatullah Faruk Mollah,
Subhadip Basu and Ram Sarkar
Script Identification from Camera-Captured Multi-script Scene
Text Components . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159
Madhuram Jajoo, Neelotpal Chakraborty, Ayatullah Faruk Mollah,
Subhadip Basu and Ram Sarkar
Implementation of BFS-NB Hybrid Model in Intrusion Detection
System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167
Sushruta Mishra, Chandrakanta Mahanty, Shreela Dash
and Brojo Kishore Mishra
Context-Sensitive Spelling Checker for Assamese Language . . . . . . . . . 177
Ranjan Choudhury, Nabamita Deb and Kishore Kashyap
Distance Transform-Based Stroke Feature Descriptor for Text
Non-text Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189
Tauseef Khan and Ayatullah Faruk Mollah
A Hybrid Approach to Analyze the Morphology
of an Assamese Word. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 201
Mirzanur Rahman and Shikhar Kumar Sarma
Netizen’s Perspective on a Recent Scam in India—An Emotion
Mining Approach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211
Aviroop Mukherjee, Agnivo Ghosh and Tanmay Bhattacharya