COMPLETE Test Bank For
Business Intelligence, Analytics, Data Science, and AI, 5th Edition by Ramesh Sharda, Dursun
Delen, Efraim Turban Chapter 1-11 All Included Latest Version
5th Edition
,Table of Contents
Chapter 1 An Overview of Business Intelligence, Analytics, and Data Science ......................3
Chapter 2 Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications ......... 40
Chapter 3 Descriptive Analytics I: Nature of Data, Big Data, and Statistical Modeling ............................... 73
Chapter 4 Descriptive Analytics II: Business Intelligence Data Warehousing, and Visualization ............... 111
Chapter 5 Predictive Analytics I: Data Mining Process, Methods, and Algorithms ................................... 148
Chapter 6 Predictive Analytics II: Text, Web, and Social Media Analytics ................................................ 185
Chapter 7 Deep Learning and Cognitive Computing ............................................................................... 217
Chapter 8 Prescriptive Analytics: Optimization and Simulation .............................................................. 251
Chapter 9 The Landscape of Software Tools and Languages ................................................................... 288
Chapter 10 New AI-Based Trends in Analytics and Data Science ............................................................. 321
Chapter 11 Ethical, Privacy and Managerial Considerations in Analytics ................................................. 357
1
,Chapter 1 An Overview of Business Intelligence, Analytics, and Data
Science
1) Computerized support is used for organizational and managerial decisions that
are responses to external pressures and to take advantage of market
opportunities. ANS>> TRUE
Diff: 1 Page Ref: 32
2) During the early days of analytics, data was often obtained from the domain
experts using manual processes to build mathematical or knowledge-based
models. ANS>> TRUE
Diff: 2 Page Ref: 56
3) Computer applications have moved from transaction processing and
monitoring activities to problem analysis and decision support applications.
ANS>> TRUE
Diff: 1 Page Ref: 48
4) Business intelligence is a specific term that describes a variety of
information technology and data capturing focused system architectures.
ANS>> FALSE Diff: 2
Page Ref: 46
5) The growth in hardware, software, and network capacities were the
core contributors to the proliferation of decision support and analytics
systems. ANS>> FALSE
Diff: 2 Page Ref: 48
2
, 6) Managing data warehouses requires special methods, including parallel
and cloud computing along with Hadoop/Spark.
ANS>> TRUE
Diff: 2 Page Ref: 49
7) Managing information on operations, customers, internal procedures,
and employee interactions is the domain of cognitive science.
ANS>> FALSE Diff: 3
Page Ref: 49
8) Decision support system (DSS), analytics, and management information
system (MIS) have precise definitions agreed to by most practitioners.
ANS>> FALSE Diff: 2
Page Ref: 55
9) Of all analytics types (i.e., descriptive, predictive, and prescriptive), data mining
is most closely related to predictive analytics.
ANS>> TRUE
Diff: 1 Page Ref: 65
10) Major commercial business intelligence (BI) products and services were well
established in the early 1970s.
ANS>> FALSE Diff: 2
Page Ref: 55
11) Information systems that support such transactions as ATM withdrawals,
bank deposits, and cash register scans at the grocery store represent online transaction
Business Intelligence, Analytics, Data Science, and AI, 5th Edition by Ramesh Sharda, Dursun
Delen, Efraim Turban Chapter 1-11 All Included Latest Version
5th Edition
,Table of Contents
Chapter 1 An Overview of Business Intelligence, Analytics, and Data Science ......................3
Chapter 2 Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications ......... 40
Chapter 3 Descriptive Analytics I: Nature of Data, Big Data, and Statistical Modeling ............................... 73
Chapter 4 Descriptive Analytics II: Business Intelligence Data Warehousing, and Visualization ............... 111
Chapter 5 Predictive Analytics I: Data Mining Process, Methods, and Algorithms ................................... 148
Chapter 6 Predictive Analytics II: Text, Web, and Social Media Analytics ................................................ 185
Chapter 7 Deep Learning and Cognitive Computing ............................................................................... 217
Chapter 8 Prescriptive Analytics: Optimization and Simulation .............................................................. 251
Chapter 9 The Landscape of Software Tools and Languages ................................................................... 288
Chapter 10 New AI-Based Trends in Analytics and Data Science ............................................................. 321
Chapter 11 Ethical, Privacy and Managerial Considerations in Analytics ................................................. 357
1
,Chapter 1 An Overview of Business Intelligence, Analytics, and Data
Science
1) Computerized support is used for organizational and managerial decisions that
are responses to external pressures and to take advantage of market
opportunities. ANS>> TRUE
Diff: 1 Page Ref: 32
2) During the early days of analytics, data was often obtained from the domain
experts using manual processes to build mathematical or knowledge-based
models. ANS>> TRUE
Diff: 2 Page Ref: 56
3) Computer applications have moved from transaction processing and
monitoring activities to problem analysis and decision support applications.
ANS>> TRUE
Diff: 1 Page Ref: 48
4) Business intelligence is a specific term that describes a variety of
information technology and data capturing focused system architectures.
ANS>> FALSE Diff: 2
Page Ref: 46
5) The growth in hardware, software, and network capacities were the
core contributors to the proliferation of decision support and analytics
systems. ANS>> FALSE
Diff: 2 Page Ref: 48
2
, 6) Managing data warehouses requires special methods, including parallel
and cloud computing along with Hadoop/Spark.
ANS>> TRUE
Diff: 2 Page Ref: 49
7) Managing information on operations, customers, internal procedures,
and employee interactions is the domain of cognitive science.
ANS>> FALSE Diff: 3
Page Ref: 49
8) Decision support system (DSS), analytics, and management information
system (MIS) have precise definitions agreed to by most practitioners.
ANS>> FALSE Diff: 2
Page Ref: 55
9) Of all analytics types (i.e., descriptive, predictive, and prescriptive), data mining
is most closely related to predictive analytics.
ANS>> TRUE
Diff: 1 Page Ref: 65
10) Major commercial business intelligence (BI) products and services were well
established in the early 1970s.
ANS>> FALSE Diff: 2
Page Ref: 55
11) Information systems that support such transactions as ATM withdrawals,
bank deposits, and cash register scans at the grocery store represent online transaction
