Index
ISBN: 978-1-80043-877-4, eISBN: 978-1-80043-876-7
Publication date: 4 December 2020
This content is currently only available as a PDF
Citation
(2020), "Index", Kumari, S., Tripathy, K.K. and Kumbhar, V. (Ed.) Data Science and Analytics, Emerald Publishing Limited, Leeds, pp. 183-189. https://doi.org/10.1108/978-1-80043-876-720211010
Publisher
:Emerald Publishing Limited
Copyright © 2021 Emerald Publishing Limited
INDEX
Note: Page numbers followed by “n” indicate notes.
Accuracy
, 58
Additive manufacturing (AM)
, 155, 160
Aggregate measures
, 92–93
Analysis
, 2–3
Analysis of variance (ANOVA)
, 75, 132
Analytics (see also Predictive analytics)
, 8
Analyzer technologies
, 162–164
Anand city
, 75
Anand Milk Union Limited (AMUL)
, 74
Application programming interface (API)
, 44
Artificial Intelligence (AI)
, 3, 152, 160–161
Assembling and natural resources
, 38
Association rule mining
, 109
Autonomous vehicles
, 160
Bar charts
, 11
Basket analysis
, 109–110
Big data (BD)
, 7, 24–25, 152, 159
applications
, 27
average wage paid
, 138–139
basics
, 26–28
comparison of notified wage and agriculture wage
, 144–146
computing
, 26
cumulative number of households issued job cards
, 134
delay payment
, 142
employment demanded vs. employment offered
, 142
gender and women empowerment
, 140–142
ingestion
, 34
meaning
, 28
and MGNREGA
, 131–146
MGNREGA expenditure
, 139
MIS
, 132
number of job cards deleted
, 132
number of registered households and persons
, 133
pre-and post-MGNREGA wage situation
, 146
semi-skilled worker
, 134
system
, 30
trend of activities in MGNREGA
, 134–135
work demand pattern
, 136
Big data analytics (BDA)
, 24, 27
Box plots
, 14–15
Business analytics based on customer data
, 108–110
Business Data Analytics
, 3
Business intelligence (BI)
, 9
Capital
, 118–119
Categorical data
, 10
Challenges in MGNREGA
, 118–119
Charottar (see Anand city)
Classification
, 56–59
Cloud computing (CC)
, 152, 159
Cloudera Distribution including Apache Hadoop (CDH)
, 53
Cluster
, 75
analysis
, 75
Clustering
, 42, 45
algorithms
, 109
Collector technologies
, 162–164
Communication layer
, 113–114
Composite user interface
, 114
Comprehensive R Archive Network (CRAN)
, 48
Confusion matrix
, 58
Counting measures
, 92–93
Cross validation
, 46, 59
Custolytics
, 104
Customer relationship management (CRM)
, 104
business analytics based on customer data
, 108–110
customer life cycle management with real-time data analytics
, 112
IoT architecture
, 112–114
IoT-based real-time analytics
, 110–111
limitations
, 116
theoretical foundation
, 105–108
Customer(s)
, 77
customer-driven businesses
, 104
data analytics
, 110
equity
, 92, 94–95, 99
life cycle management with real-time data analytics
, 112
segmentation
, 108–109
service improvement
, 158, 162
Dashboards
, 16–18
Data (see also Big data (BD))
mining
, 42, 44, 108
science
, 1
traffic analysis
, 92
traffic problems in IoT in context of health-care problems using wireless communication
, 95–96
types
, 9–10
Data visualization
, 2, 7, 9
future
, 21
software
, 18–21
Database marketing
, 109
Datasets
, 56
Decision-making
, 1–2, 16
DeenDayal Upadhyaya Antyodaya Yojana–NRLM (DAY-NRLM)
, 124
DeenDayal Upadhyaya Gramin Kaushal Yojana (DDU-GKY)
, 124
Descriptive analytics
, 8
Digital champion
, 154–157
Digital supply chain (DSC) (see also Supply chain)
, 153
Digital technologies
, 105, 116, 152
benefits
, 162–164
effects
, 161–165
implementing
, 153–159
strategic implementation
, 157–159
in supply chain
, 159–161
Digitalization
, 152, 154–155
Drone
, 160
Dwarkadhish tea, market segmentations of
, 83–86
Education
, 38
Electronic CRM (eCRM)
, 105–108
Employment
, 118
programs
, 123–124
Employment Assurance Scheme (EAS)
, 124–125
Employment Guarantee Act
, 122
Enterprise Resource Planning systems
, 2
Entrepreneurs
, 90
Entrepreneurship
, 90
Event orchestration engine
, 114
Event-driven architecture
, 113–114
Event-driven service-oriented architecture (EDSOA)
, 112
benefits
, 114
Extreme poverty
, 118
Feature extraction
, 46–47
Financial data management
, 37
Food For Works Program (FFP)
, 124–125
Food retail market
, 73
Food Safety Standard Authority of India Act (FSSAI Act)
, 72, 89
Forecasting
, 10, 13
Foreign direct investment (FDI)
, 72, 89
Future research of MGNREGA
, 149–150
Gen-next customer service
, 111
General Public License (GPL)
, 47
Global Positioning System (GPS)
, 161
Golden Jubilee Rural Self-Employment Program
, 124
Goods and services tax (GST)
, 72, 90
Google Maps
, 3–4
Government
, 39
Gram Panchayat
, 131n1
Gram Sabha (GS)
, 131
Graph
, 11
Graphical processing unit (GPU)
, 25
Graphical user interface (GUI)
, 44
Graphical visualizations
, 11–18
Hard core loyal
, 90
Heat map
, 8, 13
Heterogeneous, Autonomous, Complex, Evolving hypothesis (HACE hypothesis)
, 29
High-performance computer clusters (HPCCs)
, 29
Higher-order functions of densities
, 97
Histogram
, 12–13
Horizontal collaborator
, 154
Hortonworks Data Platform (HDP)
, 53
Household enterprises
, 123
IBM predictive analytics tools
, 44
Income generation
, 123
Indian agriculture
, 73
Indiastat
, 3
Information and communications technology (ICT)
, 147, 152
Information technology
, 110
Institute of Rural Management (IRMA)
, 74
Insurance firms
, 38
Integrated development environment (IDE)
, 49
Integrated Rural Development Program (IRDP)
, 123–124
Integration Services
, 31
International Water Management Institute (IWMI)
, 75
Internet of Things (IoT)
, 24, 104, 110, 152, 159
architecture
, 112–114
IoT-based real-time analytics
, 110–111
Interpreter technologies
, 164–165
Interval data
, 10
IT security
, 114
Jawahar Gram Samridhi Yojana (JGSY)
, 124–125
Jawahar Rozgar Yojana (JRY)
, 124–125
K-fold method
, 59
K-Nearest Neighbor (K-NN)
, 56
Karnavati Dabeli, market segmentations of
, 81–83
Khetlaaapa tea, market segmentation of customers for
, 81
Knowledge, skill, and aptitude (KSA)
, 89
Konstanz Information Miner (KNIME)
, 44, 49–51, 56, 61, 65
Labor employment
, 118–119
Liberalization, Privatization, and Globalization (LPG)
, 89
Likert scale
, 10
Line charts
, 15
Machine learning
, 42, 46–47
Magic Quadrant
, 18
Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA)
, 119
Big Data and
, 131–146
implementation mechanism
, 125–126
issues and challenges in
, 146–148
literature review
, 120–124
physical and financial implementation status
, 126–131
research methodology
, 119
research questions
, 149–150
salient features
, 128, 131
theoretical and managerial implications
, 149
trend of activities in
, 134–135
wage employment programs
, 124–125
Management Information System (MIS)
, 132
Manufacturing time
, 153, 156
Market basket analysis (see Association rule mining)
“Market Opportunities through Effective Market Analytics”
, 74
area of study
, 74–75
justification of research methodology
, 76
materials and methods
, 74–76
sample selection and design
, 75
statistical tools and techniques
, 75–76
Market segmentation
of consumer market of Nylon Pauvaji restaurants
, 79–80
of consumer market of Sigdi restaurant
, 76–78
of customers for Khetlaaapa tea
, 81
of Dwarkadhish tea
, 83–86
of Karnavati Dabeli
, 81–83
of Santushti ice-cream parlor
, 86–88
Marketing
, 92
campaigns targeted toward
, 109
Mean
, 15
Measurements
, 10
Media information exchange and entertainment
, 37–38
Median
, 15
Messaging bus
, 113
Micro small and medium enterprises (MSMEs)
, 115–116
Micro Strategy
, 19
Microsoft’s Power BI
, 19
Modern CRM
, 114–115
Multimedia
, 25
Multimedia big data (MMBD) (see also Big data (BD))
, 25
applications
, 36–37
basic advantages
, 36
features
, 32–33
importance
, 34–36
infrastructure
, 28–29
life cycle
, 33–34
meaning
, 32
open problems outlook and research opportunities
, 37–39
related work in BD computing
, 29–31
Multimodality
, 25
Multivariate analysis of variance (MANOVA)
, 76
“MyFord Touch” service
, 158
Naïve Bayes Classifier
, 58
National Association of Software and Services Companies (NASSCOM)
, 3
National Dairy Development Board (NDDB)
, 74
National Highway (NH)
, 76
National Rural Employment Guarantee Act (NREGA)
, 125
National Rural Livelihood Mission (NRLM)
, 124
National Sample Survey Organization (NSSO)
, 120
Node
, 50
Nominal data
, 9
Non-resident Indian city (NRI city)
, 75
North American Council of Transportation Efficiency (NACFE)
, 160
Nylon Pauvaji restaurants, market segmentation of consumer market of
, 79–80
Object Management Services (OMS)
, 31
On-demand pricing
, 111
One-way ANOVA test
, 139
Open data
, 6–7
Orange
, 44, 51–52, 56, 61
Ordinal data
, 10
Organizations
, 44
Percentage-split method
, 59
Performance measures of modeling
, 93
Persistence Services
, 31
Personal digital assistants (PDAs)
, 26
Pie chart
, 12
“Platoon” concept
, 160
Poverty
, 118
alleviation
, 123
in India
, 120–122
Prediction
, 58
Predictive analysis
, 42
used in decision-making
, 43
Predictive analytics
, 8, 42–43
analysis
, 66
background details
, 45–54
classification
, 56–59
datasets
, 56
evaluating performance of algorithms
, 59–66
experiment setups and preliminaries
, 59
methodology
, 54–59
objective
, 45
selection of tools
, 54, 56
Predictive models
, 42
Prescriptive analytics
, 8
Product density (PD)
, 92, 94, 96–99
of second-order
, 98
Promotional marketing
, 111
Psychographic segmentation
, 73
Python
, 19, 21
QlikView
, 19
Qualitative data
, 10
Quality
, 73
Quality of service (QoS)
, 92
Quantitative data
, 10
R software
, 19, 21, 44
Radio-frequency identification (RFID)
, 112
Random point process (RPP)
, 92, 94–95, 100
Random process
, 100
Random variables
, 94
RapidMiner
, 44, 53–54, 56, 66–67
RapidMiner Radoop
, 53
RapidMiner Server
, 53
RapidMiner Streams
, 53
RapidMiner Studio
, 53
Ratio data
, 10
Real-time data analytics, customer life cycle management with
, 112
Recency, frequency and monetary value framework (RFM framework)
, 109
Regression
, 42, 45
Retailing
, 72
Robotics (Rob)
, 160
RStudio
, 48–49, 61
Rural development
, 118
Rural employment
, 123
Rural Employment Guarantee Schemes (REGS)
, 121–122
Rural Landless Employment Guarantee Program (RLEGP)
, 124–125
SampoornGramin Rozgar Yojana (SGRY)
, 124–125
Santushti ice-cream parlor, market segmentations of
, 86–88
Scatter plot
, 13
Scheduled caste (SC)
, 135
Scheduled tribe (ST)
, 135
Scikit-learn
, 44–47, 61
Seamless integration
, 113
Second-order product density
, 98–99
Segmentation
, 89
Self-driving vehicles (SDV)
, 160
Self-employment
, 123
Sensing layer
, 113
Service-oriented architecture (SOA)
, 113
Sigdi restaurant, market segmentation of consumer market of
, 76–78
Spider chart
, 15
Split cases
, 75–76
Standard operating procedure (SOP)
, 73, 90
Stereoscopic 3D video
, 35
Stochastic modeling, appropriateness of technique in
, 94–95
Stochastic point process
, 92–93
data traffic problems in IoT in context of health-care problems
, 95–96
expected cost of resources
, 99
prediction of expected number of patients undergoing treatment
, 96–99
Stochastic time-dependent modeling of customer equity
, 99
estimating customer base of product
, 100–101
estimating customer equity at any time
, 101
Supervised learning algorithms
, 46
Supply chain
, 152
digital technologies in
, 159–161
management
, 156–157
Supply Chain Operations Reference model (SCOR model)
, 157
Support Vector Classifier (SVC)
, 58
Support Vector Machine (SVM)
, 45
System of records (SOR)
, 114
Tableau
, 19
Tanagra
, 44
Technology
costs
, 109
implementation
, 155–156
Test dataset
, 56
Thoughtspot
, 19
Three dimensional printing (3D printing) (see Additive manufacturing (AM))
Training dataset
, 56
Transformer technologies
, 164–165
Transportation
, 39
Tree map
, 13
UI Services
, 31
Uncertainty
, 152
Unemployment
, 118
in India
, 120–122
Unique selling propositions (USPs)
, 19, 86
Unmanned aerial vehicle (UAV)
, 160
Unsupervised learning algorithms
, 46
Variety, velocity, value, volume, veracity, and variability (six Vs)
, 32
VisFlow
, 21
Visual merchandising
, 89
Visualization
, 7–8
types
, 10–18
Visualization and Data Analytics lab (VIDA lab)
, 21
Volume, Velocity, and Variety (three Vs)
, 27
Wage
employment programs
, 124–125
goals
, 118–119
good
, 118–119
Waikato Environment for Knowledge Analysis (WEKA)
, 44, 47–48, 56, 59–61
Whisker plots
, 14–15
Word clouds
, 15–16
Worker population ratio (WPR)
, 122
Workflow
, 50
Yet Another Learning Environment (YALE)
, 53
Zomato vertical model
, 73–74
- Prelims
- Chapter 1: Data Visualization
- Chapter 2: Analytical Aspects of Multimedia Big Data Computing and Future Scope
- Chapter 3: Predictive Analysis: Comprehensive Study of Popular Open-Source Tools
- Chapter 4: Market Opportunities Through Effective Market Analytics
- Chapter 5: Advance Stochastic Point Process Techniques: Modeling Problems in the Internet of Things (IoT) and Marketing
- Chapter 6: Real-Time Data Analytics – A Contemporary Approach Toward Customer Relationship Management
- Chapter 7: Application of Big Data for Sustainable Rural Development with Special Reference to MGNREGA
- Chapter 8: Challenges of Digital Technologies in the Development of Supply Chains: A Guide for Their Selection
- References
- Index