Four-class labels
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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. | information must pass through the sensory, short-term and long-term memory before it is fully processed |
2 | 1 | information processing | - 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 |
Subsets and Splits