Four-class labels
int64 0
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| Binary labels
int64 0
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| Entity
stringlengths 8
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| Definition1
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| Definition2
stringlengths 14
253
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|---|---|---|---|---|
0 | 0 |
data source
|
the source of the data or information. usually in the form of files.
|
defined in the source system and is then duplicated in the data warehouse. often must be cleansed and harmonized, corrected.
|
0 | 0 |
data source
|
a map element that provides an attribution describing where the data can be found
|
a data source is the internal representation of an external source of data for a specific source system.
|
0 | 0 |
data source
|
the source of the data or information. usually in the form of files.
|
a map element that provides an attribution describing where the data can be found
|
1 | 0 |
group communication
|
communication among a small number of people who share a common purpose or goal, who feel connected to each other, and who coordinate their behavior
|
can be among small or large groups,such as an organization, club or classroom, in which all individuals retain their individual identities.
|
1 | 0 |
group communication
|
3 or more people using communication, mutual respect, and collaboration to work towards a common goal.
|
a dynamic process where a small number of people engage in a conversation.
|
2 | 1 |
group communication
|
a dynamic process where a small number of people engage in a conversation.
|
-interaction in small groups -2-20 people -verbal/nonverbal -decision making -working towards common goal
|
0 | 0 |
group communication
|
a dynamic process where a small number of people engage in a conversation.
|
can be among small or large groups,such as an organization, club or classroom, in which all individuals retain their individual identities.
|
0 | 0 |
group communication
|
small group communication(2 or more) organizational communication (faculty meeting-established goal) group dynamics(small group-organizational communication-dynamics)
|
the collaboration of three or more interdependent members working to achieve a common goal
|
2 | 1 |
group communication
|
communication among a small number of people who share a common purpose or goal, who feel connected to each other, and who coordinate their behavior
|
a dynamic process where a small number of people engage in a conversation.
|
0 | 0 |
group communication
|
3 or more people using communication, mutual respect, and collaboration to work towards a common goal.
|
can be among small or large groups,such as an organization, club or classroom, in which all individuals retain their individual identities.
|
2 | 1 |
group communication
|
3 or more people using communication, mutual respect, and collaboration to work towards a common goal.
|
communication among a small number of people who share a common purpose or goal, who feel connected to each other, and who coordinate their behavior
|
3 | 1 |
group communication
|
3 or more interdependent(rely on each other) members working 2 achieve 1 common goal / they have a mission
|
the collaboration of three or more interdependent members working to achieve a common goal
|
1 | 0 |
group communication
|
there is a specific goal or purpose
|
goal-directed form of communication, has a purpose & follows specific format
|
1 | 0 |
group communication
|
small group communication(2 or more) organizational communication (faculty meeting-established goal) group dynamics(small group-organizational communication-dynamics)
|
3 or more interdependent(rely on each other) members working 2 achieve 1 common goal / they have a mission
|
3 | 1 |
overlay network
|
a network which is established on top of another network (e.g. vpn over the internet)
|
a virtual network realised on top of an existing network such as the internet
|
2 | 1 |
network management
|
insuring network is fulfilling goals configuration mgmt performance and fault mgmt end-user mgmt cost mgmt
|
asses, monitor, and maintain all network aspects
|
1 | 0 |
network management
|
insuring network is fulfilling goals configuration mgmt performance and fault mgmt end-user mgmt cost mgmt
|
refers to the assessment, monitoring, and maintenance of all aspects of a network
|
3 | 1 |
network management
|
asses, monitor, and maintain all network aspects
|
refers to the assessment, monitoring, and maintenance of all aspects of a network
|
2 | 1 |
network management
|
management of systems on the network using various activities, methods, procedures, and tools that relate to the operation, administration, maintenance, and provisioning of these systems.
|
is the process of assessing, monitoring, and maintaining network devices and connections.
|
1 | 0 |
software component
|
applications, operating system, virtualization
|
element that is embedded in a system
|
0 | 0 |
software component
|
an architectural entity that encapsulates a subset of the system's functionality and restricts access to that subset
|
non trivial pies of software, a module, a package or subsystem fulfills a clear function integrated into a well defined architecture
|
0 | 0 |
software component
|
non trivial pies of software, a module, a package or subsystem fulfills a clear function integrated into a well defined architecture
|
an independently deliverable piece of functionality providing access to its service through interface.
|
0 | 0 |
software component
|
an architectural entity that encapsulates a subset of the system's functionality and restricts access to that subset
|
an independently deliverable piece of functionality providing access to its service through interface.
|
0 | 0 |
information processing
|
brain is like a computer; sees development as continuous; focused on memory and problem solving
|
system that occurs in three stages (registration of stimulus, analysis of information, and hypothesis formation)
|
0 | 0 |
information processing
|
models of cognitive processes and how the information processing system changes over development
|
system that occurs in three stages (registration of stimulus, analysis of information, and hypothesis formation)
|
2 | 1 |
information processing
|
transforming low level sensory representations into higher level representations capable of mediating cognitive behavior
|
the transformation of sensory input into mental representations and the manipulations of such representations
|
0 | 0 |
information processing
|
uses previous knowledge to help when experiencing something knew. emphasizes connections between experiences.
|
focuses on way people process info and how they deal with it. effectiveness involves attention, memory, thinking.
|
1 | 0 |
information processing
|
a perspective that views the human mind as a symbol manipulating system through which information flows and that regards cognitive development as a continuous process.
|
brain is like a computer; sees development as continuous; focused on memory and problem solving
|
0 | 0 |
information processing
|
- continuous (gradual) - one course (changes characterize people) - both nature and nurture (active, meet new demands)
|
uses previous knowledge to help when experiencing something knew. emphasizes connections between experiences.
|
0 | 0 |
information processing
|
a perspective that views the human mind as a symbol manipulating system through which information flows and that regards cognitive development as a continuous process.
|
system that occurs in three stages (registration of stimulus, analysis of information, and hypothesis formation)
|
0 | 0 |
information processing
|
a theoretical position which analyzes behavior by using computer mechanisms as models of behavior
|
system that occurs in three stages (registration of stimulus, analysis of information, and hypothesis formation)
|
1 | 0 |
information processing
|
the organization, manipulation, analysis, and distribution of data, nowadays typically carried out by computers (reviewing trends / grouping like info /
|
taking in information, figuring out whats important, storing and retrieving processes computer model= same software
|
0 | 0 |
information processing
|
- continuous (gradual) - one course (changes characterize people) - both nature and nurture (active, meet new demands)
|
individualized voluntary problem solving strategies unique to each person -attention, discrimination, organization, memory
|
0 | 0 |
information processing
|
this term refers to the organization of our memories and the processes used to learn and use information in those memories
|
system that occurs in three stages (registration of stimulus, analysis of information, and hypothesis formation)
|
1 | 0 |
information processing
|
this model conceives of memory as consisting of three components: sensory memory, short-term working memory, and long term memory.
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information must pass through the sensory, short-term and long-term memory before it is fully processed
|
2 | 1 |
information processing
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- our brain processes the information that comes in through our senses - something comes in, we do something to it, and it is converted to output
|
-our brain processes the information that comes in via our senses.
|
0 | 0 |
information processing
|
- continuous (gradual) - one course (changes characterize people) - both nature and nurture (active, meet new demands)
|
focuses on way people process info and how they deal with it. effectiveness involves attention, memory, thinking.
|
0 | 0 |
information processing
|
this term refers to the organization of our memories and the processes used to learn and use information in those memories
|
brain is like a computer; sees development as continuous; focused on memory and problem solving
|
0 | 0 |
machine learning
|
study of how computers can improve their performance without explicit commands programmed by humans by training algorithms to learn from previous data and examples
|
a software program that works in the background without direct human intervention to carry out specific, repetitive, predictable tasks
|
2 | 1 |
machine learning
|
finding patterns in data and getting insight; decision making by predicting
|
finding and describing structural patterns in data and making predictions from it
|
1 | 0 |
machine learning
|
driven by the data, instead of programming &"rules&" the computer designs the &"rules&" on its own based on trying to closely mimic the testing data that it is provided.
|
artificial intelligence in which computers continually teach themselves to make better decisions based on previous results and new data
|
3 | 1 |
machine learning
|
machine learning algorithms build a mathematical model of sample data, known as &"training data&", in order to make predictions or decisions without being explicitly programmed to perform the task.
|
---focus of designing algorithms that can learn from and make predictions on the data without being explicitly programmed to perform the task --- &"training data&"
|
1 | 0 |
machine learning
|
(focus on model improvement) shares many of the same statistical techniques. predictive model improves automatically with experience.
|
the scientific study of algorithms and statistical models that computer systems use to progressively improve their performance on a specific task.
|
1 | 0 |
machine learning
|
analyzing large amounts of data to discover patterns and make predictions
|
system learns to identify certain things by looking at examples
|
2 | 1 |
machine learning
|
automatically learning and improving through experience rather than being programmed (artificial intelligence)
|
a fundamental concept of ai research since the field's inception. the study of computer algorithms that improve automatically through experience.
|
2 | 1 |
machine learning
|
ability of a machine to improve its own performance through the use of software that employs artificial intelligence
|
ability of a machine to improve its own performance through software
|
3 | 1 |
machine learning
|
application of artificial intelligence (ai) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed
|
a form of artificial intelligence that provides computers with the ability to learn without being explicitly programmed
|
1 | 0 |
machine learning
|
techniques allowing computers to 'improve performance' in certain tasks by making use of data (rather than being programmed explicitly for a task)
|
the scientific study of algorithms and statistics to effectively perform a specific task without providing specific instructions
|
3 | 1 |
machine learning
|
application of artificial intelligence (ai) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed
|
application of ai that provides systems the ability to automatically learn and improve from experience without being explicitly programmed
|
0 | 0 |
machine learning
|
the use of data-driven algorithms that perform better as they have more data to work with; generally uses cross-validation
|
study of algorithms that computers use to perform certain tasks, helps decision making
|
1 | 0 |
machine learning
|
study of algorithms that computers use to perform certain tasks, helps decision making
|
the field of study that gives computers the ability to learn from data (e.g., discovering patterns and relations among input data), and make predictions
|
2 | 1 |
machine learning
|
machine learning is the science of getting computers to act without being explicitly programmed self driving cars, speech recognition, and web search
|
driven by the data, instead of programming &"rules&" the computer designs the &"rules&" on its own based on trying to closely mimic the testing data that it is provided.
|
2 | 1 |
machine learning
|
application of ai that provides systems the ability to automatically learn and improve from experience without being explicitly programmed
|
algorithms that can learn from data, or, computer programs that essentially program themselves by looking at information
|
2 | 1 |
machine learning
|
algorithms that are good at predicting. (based on knowledge, things we already know)
|
the field of study that gives computers the ability to learn from data (e.g., discovering patterns and relations among input data), and make predictions
|
3 | 1 |
machine learning
|
the extraction of knowledge from data based on algorithms created from training data, and improve their performance at a task with experience
|
the extraction of knowledge from data based on algorithms created from training data technique for making a computer produce better results by learning from past experiences.
|
3 | 1 |
machine learning
|
application of ai that provides systems the ability to automatically learn and improve from experience without being explicitly programmed
|
type of ai broadly defined as software with the ability to learn or improve without being explicitly programmed
|
2 | 1 |
machine learning
|
leverages massive amounts of data so that computers can act and improve on their own without additional programming.
|
a type of artificial intelligence that leverages massive amounts of data so that computers can improve the accuracy of actions and predictions on their own without additional programming.
|
3 | 1 |
machine learning
|
type of artificial intelligence that leverages massive amounts of data so that computers can act and improve on their own without additional programming.
|
a type of artificial intelligence that leverages massive amounts of data so that computers can improve the accuracy of actions and predictions on their own without additional programming.
|
2 | 1 |
machine learning
|
the study of techniques to make computers learn to solve different problems as well as adapt to new information that becomes available
|
the practice of using algorithms to parse data, learn from it, and then make a determination or prediction about something in the word
|
0 | 0 |
machine learning
|
(focus on model improvement) shares many of the same statistical techniques. predictive model improves automatically with experience.
|
the process of using mathematics and algorithms to build models from data for prediction and insight
|
2 | 1 |
machine learning
|
field of study that gives computers the ability to learn without being explicitly programmed practice of using algorithms to parse data, learn from it, make prediction about something in world
|
the field of study that gives computers the ability to learn from data (e.g., discovering patterns and relations among input data), and make predictions
|
1 | 0 |
machine learning
|
- the extraction of knowledge from data based on algorithms created from training data - focused on predicting outcomes based on previously unknown data
|
the extraction of knowledge from data based on algorithms created from training data, and improve their performance at a task with experience
|
2 | 1 |
machine learning
|
how computer can improve their performance without explicit commands and instead use patterns from previous data and examples provided by humans
|
a software program that works in the background without direct human intervention to carry out specific, repetitive, predictable tasks
|
2 | 1 |
machine learning
|
machine learning is the science of getting computers to act without being explicitly programmed self driving cars, speech recognition, and web search
|
a field of study interested in the development of computer algorithms to transform data into intelligent action ex. facebook auto friend tagging, uber estimated time arrival
|
3 | 1 |
machine learning
|
automatically learning and improving through experience rather than being programmed (artificial intelligence)
|
is a field of study concerned with creating algorithms that computers can use to learn from their experiences.
|
2 | 1 |
machine learning
|
a field of study interested in the development of computer algorithms to transform data into intelligent action ex. facebook auto friend tagging, uber estimated time arrival
|
trains computers to accurately recognize patterns in data for purposes of data analysis, prediction, and/or action selection by autonomous agents
|
2 | 1 |
machine learning
|
field of study that gives computers the ability to learn without being explicitly programmed practice of using algorithms to parse data, learn from it, make prediction about something in world
|
the practice of using algorithms to parse data, learn from it, and then make a determination or prediction about something in the word
|
0 | 0 |
machine learning
|
driven by the data, instead of programming &"rules&" the computer designs the &"rules&" on its own based on trying to closely mimic the testing data that it is provided.
|
trains computers to accurately recognize patterns in data for purposes of data analysis, prediction, and/or action selection by autonomous agents
|
2 | 1 |
machine learning
|
the process by which a computer is able to improve its own ( as in analyzing image files ) by continuously incorporating new data into an existing statistical model.
|
the scientific study of algorithms and statistical models that computer systems use to progressively improve their performance on a specific task.
|
2 | 1 |
machine learning
|
the field of study interested in the development of computer algorithms to transform data into intelligent action
|
branch of computer science; use of computer algorithms to transform data into intelligent actions - predictions and decisions. tends to be focused on performing clear tasks; &"data-hungry&"
|
2 | 1 |
machine learning
|
algorithms that are good at predicting. (based on knowledge, things we already know)
|
the practice of using algorithms to parse data, learn from it, and then make a determination or prediction about something in the word
|
1 | 0 |
machine learning
|
technique for making a computer produce better results by gathering data and learning from past experiences.
|
driven by the data, instead of programming &"rules&" the computer designs the &"rules&" on its own based on trying to closely mimic the testing data that it is provided.
|
0 | 0 |
machine learning
|
machine learning is the science of getting computers to act without being explicitly programmed self driving cars, speech recognition, and web search
|
technique for making a computer produce better results by gathering data and learning from past experiences.
|
2 | 1 |
machine learning
|
the use of data-driven algorithms that perform better as they have more data to work with; generally uses cross-validation
|
the field of study that gives computers the ability to learn from data (e.g., discovering patterns and relations among input data), and make predictions
|
3 | 1 |
machine learning
|
application of artificial intelligence (ai) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed
|
type of ai broadly defined as software with the ability to learn or improve without being explicitly programmed
|
0 | 0 |
machine learning
|
algorithms that can learn from data, or, computer programs that essentially program themselves by looking at information
|
a form of artificial intelligence that provides computers with the ability to learn without being explicitly programmed
|
3 | 1 |
machine learning
|
focuses on the development of computer programs that can access data and use it learn for themselves.
|
programs that give computer the ability to learn from data
|
1 | 0 |
machine learning
|
study of algorithms that computers use to perform certain tasks, helps decision making
|
the practice of using algorithms to parse data, learn from it, and then make a determination or prediction about something in the word
|
3 | 1 |
machine learning
|
application of ai that provides systems the ability to automatically learn and improve from experience without being explicitly programmed
|
a form of artificial intelligence that provides computers with the ability to learn without being explicitly programmed
|
1 | 0 |
machine learning
|
analyzing large amounts of data to discover patterns and make predictions
|
is one way to analyze, understand, and predict big data
|
1 | 0 |
machine learning
|
includes any type of algorithm that uses training data/set to change how it processes future data. typically uses language of probability theory and linear algebra - vectors.
|
algorithms that use training data to encode rules and logic that can then be applied to new data (situations)
|
3 | 1 |
machine learning
|
a category of algorithm that allows software applications to become more accurate in predicting outcomes without being explicitly programmed
|
is a type of artificial intelligence (ai) that allows software applications to become more accurate in predicting outcomes without being explicitly programmed.
|
1 | 0 |
machine learning
|
the study of techniques to make computers learn to solve different problems as well as adapt to new information that becomes available
|
the use of data-driven algorithms that perform better as they have more data to work with; generally uses cross-validation
|
2 | 1 |
machine learning
|
the development of techniques that allow a computer to simulate learning by generating rules from raw data fed into it.
|
a subset of ai gives computers the ability to learn without being explicitly programmed
|
0 | 0 |
machine learning
|
study of how computer programs can improve their performance without explicit programming
|
a software program that works in the background without direct human intervention to carry out specific, repetitive, predictable tasks
|
2 | 1 |
machine learning
|
technique for making a computer produce better results by gathering data and learning from past experiences.
|
trains computers to accurately recognize patterns in data for purposes of data analysis, prediction, and/or action selection by autonomous agents
|
1 | 0 |
machine learning
|
study of how computer programs can improve their performance without explicit programming
|
how computer can improve their performance without explicit commands and instead use patterns from previous data and examples provided by humans
|
3 | 1 |
machine learning
|
the extraction of knowledge from data based on algorithms created from training data -ai learns predictive models extracted from data
|
the extraction of knowledge from data based on algorithms created from training data, automates analytical model building
|
3 | 1 |
machine learning
|
a fundamental concept of ai research since the field's inception. the study of computer algorithms that improve automatically through experience.
|
is a field of study concerned with creating algorithms that computers can use to learn from their experiences.
|
2 | 1 |
machine learning
|
based on the idea of computer programs taking data, analyzing it to create meaningful interpretations and making future decisions based on that.
|
programs take data, analyze it and create interpretations and decisions based on that algorithms are key
|
3 | 1 |
machine learning
|
type of ai broadly defined as software with the ability to learn or improve without being explicitly programmed
|
a form of artificial intelligence that provides computers with the ability to learn without being explicitly programmed
|
1 | 0 |
machine learning
|
the process of using mathematics and algorithms to build models from data for prediction and insight
|
the process by which a computer is able to improve its own ( as in analyzing image files ) by continuously incorporating new data into an existing statistical model.
|
2 | 1 |
machine learning
|
the study of techniques to make computers learn to solve different problems as well as adapt to new information that becomes available
|
study of algorithms that computers use to perform certain tasks, helps decision making
|
1 | 0 |
machine learning
|
driven by the data, instead of programming &"rules&" the computer designs the &"rules&" on its own based on trying to closely mimic the testing data that it is provided.
|
a field of study interested in the development of computer algorithms to transform data into intelligent action ex. facebook auto friend tagging, uber estimated time arrival
|
3 | 1 |
machine learning
|
how computer can improve their performance without explicit commands and instead use patterns from previous data and examples provided by humans
|
study of how computers can improve their performance without explicit commands programmed by humans by training algorithms to learn from previous data and examples
|
3 | 1 |
machine learning
|
a field of computer science focused on training computers to learn on their own (ai)
|
a field of computer science focused on training computers to learn on their own (artificial intelligence)
|
3 | 1 |
machine learning
|
using learning algorithms on big data to make accurate predictions and detect previously unkown patterns
|
algorithms that use mathematical or logical techniques for finding patterns in data and discovering or creating new knowledge
|
0 | 0 |
machine learning
|
the study of techniques to make computers learn to solve different problems as well as adapt to new information that becomes available
|
field of study that gives computers the ability to learn without being explicitly programmed practice of using algorithms to parse data, learn from it, make prediction about something in world
|
2 | 1 |
machine learning
|
learning system that automatically configures the model m and improves performance p, based on the empirical data d acquired from the interaction with environment e
|
a type of artificial intelligence that enables computers to both understand concepts in the environment, and also to learn.
|
3 | 1 |
machine learning
|
the extraction of knowledge from data based on algorithms created from training data
|
extraction of knowledge from data based on training
|
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