Four-class labels
int64 0
3
| Binary labels
int64 0
1
| Entity
stringlengths 8
33
| Definition1
stringlengths 15
259
| Definition2
stringlengths 14
253
|
|---|---|---|---|---|
2 | 1 | network layer | packet: where routers operate at. ip address. tcp/ip protocol. provides connections between hosts on different networks. | layer 3 of the osi model, it is primarily concerned with forwarding data based on logical addresses. ip addresses and routers are examples. |
1 | 0 | network layer | passes datagrams across a network using ip protocol to find the best path across an entire network. (like the postal service) has numerous router protocols. | routes packets from one network to another, navigating networks following a path of least traffic. |
3 | 1 | network layer | path determination and ip (logical addressing) -uses network addresses (ip address) -routers operate at this layer -sends traffic based on ip address | third layer in the tcp/ip stack. routers and other hardware operate on this layer. determining the path that packets will take using ip addresses. |
0 | 0 | network layer | path determination and ip (logical addressing) -uses network addresses (ip address) -routers operate at this layer -sends traffic based on ip address | layer 3 of the osi model, it is primarily concerned with forwarding data based on logical addresses. ip addresses and routers are examples. |
3 | 1 | relational data model | two-dimensional table representation of data, each row represents a unique record or entity, each column a field where record attributes are stored | a table representation of data; attributes (columns) and records (rows) |
1 | 0 | relational data model | the relational model uses a collection of tables to represent both data and the relationships among those data -columns = properties -rows = instances | - object types are represented as sets, known as relations - each relation consists of instances which are called tuples - usual way to represent relations is in tables |
3 | 1 | relational data model | two-dimensional table representation of data, each row represents a unique record or entity, each column a field where record attributes are stored | two-dimensional table where each row represents a record and each column represents a field containing attributes |
1 | 0 | relational data model | collection of relations (tables), each containing tuples (rows) and attributes (columns) | tuple = row attribute = column relation = table |
0 | 0 | relational data model | most commonly used in contemporary database applications | -collection of concepts used to describe the data in an enterprise, from the database administrators' point-of-view -logical db design step |
1 | 0 | relational data model | the relational model uses a collection of tables to represent both data and the relationships among those data -columns = properties -rows = instances | represents everything in the database as being stored in the form of tables called relations |
2 | 1 | relational data model | data and relationships are represented as tables | this uses a collection of tables to represent both data and the relationships among those data. |
3 | 1 | capacity planning | involves the construction of new factories, moving production from one location to another, or buying another company and integrating into your supply chain; multi-year effort | long-term view of capacity management. involves the construction of new factories, moving production from one location to another, or buying another company and integrating into your supply chain. |
2 | 1 | capacity planning | 1) economies (good when company grows) and diseconomies (bad when company grows) of scale 2) capacity timing and sizing strategies 3) systematic approach to capacity decisions | -(dis)economies of scale -capacity timing and sizing strategies -systematic approach to capacity decisions |
3 | 1 | capacity planning | -estimating the size and type of the standard and advanced network circuits for each type of network | estimating size and type of network circuits for each network type |
2 | 1 | capacity planning | concerned with determining the level of human and other resources that will be necessary to meet the production targets of the organisation. | o the process of determining the production capacity needed by an organization to meet changing demands. |
0 | 0 | program execution | controlled by two special-purpose registers | double click an icon or single click in some cases |
1 | 0 | program execution | depend on 1. program arguments 2. environment variables 3. dynamic libraries 4. other programs and the operating system | the process of a system loading a program into memory to run. |
0 | 0 | theoretical model | describe the way variables of interest are interconnected. usually represented by a diagram or flowchart. | used interchangeably with symbolic model |
0 | 0 | theoretical model | highly established set of concepts that are testable; a ready made map for the study | describe the way variables of interest are interconnected. usually represented by a diagram or flowchart. |
1 | 0 | traffic analysis | the attempt to gather information about somebody's internet connections by analyzing the timing, length, and destinations of their packets | looks at the network traffic and distinguishes between normal activity and suspicious activity. |
1 | 0 | traffic analysis | analysis that asks how much traffic must flow over each of the network's many individual transmission links. | examines the flow of network traffic for patterns and exceptions to those patterns |
2 | 1 | traffic analysis | examines the flow of network traffic for patterns and exceptions to those patterns | looks at the network traffic and distinguishes between normal activity and suspicious activity. |
2 | 1 | traffic analysis | >> traffic analysis involves determining the location and identity of communicating hosts and could observe the frequency and length of messages being exchanged. | looks at the network traffic and distinguishes between normal activity and suspicious activity. |
1 | 0 | traffic analysis | analysis that asks how much traffic must flow over each of the network's many individual transmission links. | >> traffic analysis involves determining the location and identity of communicating hosts and could observe the frequency and length of messages being exchanged. |
0 | 0 | traffic analysis | examines the flow of network traffic for patterns and exceptions to those patterns | >> traffic analysis involves determining the location and identity of communicating hosts and could observe the frequency and length of messages being exchanged. |
1 | 0 | traffic analysis | analysis that asks how much traffic must flow over each of the network's many individual transmission links. | looks at the network traffic and distinguishes between normal activity and suspicious activity. |
0 | 0 | traffic analysis | the attempt to gather information about somebody's internet connections by analyzing the timing, length, and destinations of their packets | examines the flow of network traffic for patterns and exceptions to those patterns |
0 | 0 | traffic analysis | analysis that asks how much traffic must flow over each of the network's many individual transmission links. | the attempt to gather information about somebody's internet connections by analyzing the timing, length, and destinations of their packets |
1 | 0 | traffic analysis | the attempt to gather information about somebody's internet connections by analyzing the timing, length, and destinations of their packets | >> traffic analysis involves determining the location and identity of communicating hosts and could observe the frequency and length of messages being exchanged. |
1 | 0 | hard real-time systems | oses that have tight timing constraints (ex: one used in a hospital) | task must be serviced by its deadline. e.g. flight control system |
0 | 0 | random variables | well defined function from a sample space to the set of real numbers | -subject to variation due to chance -two types: discrete and random |
1 | 0 | random variables | well defined function from a sample space to the set of real numbers | represents some &"number&" that occurs randomly and for which we can assign a probability |
0 | 0 | random variables | always quantitative (either discrete or continuous) notation: x, y, z | represents some &"number&" that occurs randomly and for which we can assign a probability |
0 | 0 | random variables | always quantitative (either discrete or continuous) notation: x, y, z | well defined function from a sample space to the set of real numbers |
1 | 0 | random variables | -subject to variation due to chance -two types: discrete and random | values that variable takes resulting from random phenomenon; explained by probability distribution - either discrete or continuous |
0 | 0 | random variables | probability, mean, variance, percentiles, experimental design, cross-validation, goodness of fit, and robust statistics , ... | -are values that are determined by chance. |
1 | 0 | random variables | always quantitative (either discrete or continuous) notation: x, y, z | is a variable (typically represented by x) that has a single numerical value (determined by chance) for each outcome of an experiment |
1 | 0 | random variables | values that variable takes resulting from random phenomenon; explained by probability distribution - either discrete or continuous | variables whose values are determined by chance |
1 | 0 | random variables | is a variable (typically represented by x) that has a single numerical value (determined by chance) for each outcome of an experiment | -subject to variation due to chance -two types: discrete and random |
0 | 0 | random variables | well defined function from a sample space to the set of real numbers | variables whose values are determined by chance |
0 | 0 | random variables | a numerical description of the outcome of an experiment | well defined function from a sample space to the set of real numbers |
2 | 1 | random variables | is a variable (typically represented by x) that has a single numerical value (determined by chance) for each outcome of an experiment | values that variable takes resulting from random phenomenon; explained by probability distribution - either discrete or continuous |
0 | 0 | random variables | a numerical description of the outcome of an experiment | always quantitative (either discrete or continuous) notation: x, y, z |
1 | 0 | random variables | a numerical description of the outcome of an experiment | is a variable (typically represented by x) that has a single numerical value (determined by chance) for each outcome of an experiment |
0 | 0 | random variables | a numerical description of the outcome of an experiment | values that variable takes resulting from random phenomenon; explained by probability distribution - either discrete or continuous |
2 | 1 | random variables | a numerical measure of the outcome of a random phenomenon. it transfers random outcomes or events into real values | a variable whose possible values are numerical outcomes of a random phenomenon |
2 | 1 | random variables | always quantitative (either discrete or continuous) notation: x, y, z | values that variable takes resulting from random phenomenon; explained by probability distribution - either discrete or continuous |
2 | 1 | random variables | is a variable (typically represented by x) that has a single numerical value (determined by chance) for each outcome of an experiment | represents some &"number&" that occurs randomly and for which we can assign a probability |
2 | 1 | random variables | values that variable takes resulting from random phenomenon; explained by probability distribution - either discrete or continuous | represents some &"number&" that occurs randomly and for which we can assign a probability |
2 | 1 | random variables | -parameters that are not known with a high degree of certainty -randomly generated from the specified probability distributions. | input to a simulation model whose value is uncertain and described by a probability distribution. |
2 | 1 | random variables | -subject to variation due to chance -two types: discrete and random | variables whose values are determined by chance |
0 | 0 | random variables | is a variable (typically represented by x) that has a single numerical value (determined by chance) for each outcome of an experiment | variables whose values are determined by chance |
1 | 0 | random variables | numerical outcome of a random phenomenon. | the outcome is random, as is the mean calculated from a random sample. |
2 | 1 | random variables | a variable whose possible values are numerical outcomes of a random phenomenon | the outcome is random, as is the mean calculated from a random sample. |
0 | 0 | random variables | a numerical description of the outcome of an experiment | variables whose values are determined by chance |
1 | 0 | random variables | variables whose values are determined by chance | represents some &"number&" that occurs randomly and for which we can assign a probability |
3 | 1 | decision tree | graphical representation of a decision table's conditions, actions, and rules | a graphical representation of the conditions, actions, and rules found in a decision table. |
1 | 0 | decision tree | nodes represent decision points, and children represent options available | decision trees work by evaluating a question containing a feature at every node and selecting a branch to the next node, based on the answer. |
0 | 0 | decision tree | a data mining methodology. a tool used in decision analysis and is another tool used to represent the entity-relationship model. | a tool that uses tree-like graphs of decisions and possible consequences |
3 | 1 | decision tree | represent a hierarchical segmentation of data model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. | a tool that uses tree-like graphs of decisions and possible consequences |
2 | 1 | decision tree | a mathematical model used to assist a business in making a decision | a schematic model of decision making showing the available alternatives for the decision maker including the possible consequences |
1 | 0 | decision tree | decision node: ask q about attribute edges: answer to the question (specific value or range of values). connects to another decision node | nodes represent decision points, and children represent options available |
1 | 0 | decision tree | a graphical method which aids decision making by identifying and quantifying possible outcomes, probabilities of outcomes and expected values of outcomes | map possible outcomes of a series of related choices guides thinking towards desired outcome |
2 | 1 | decision tree | a tool that can be used to visualize the important aspects of a problem. this graphical model shows decisions, alternatives, actions, and outcomes. use: sequence of decisions | a decision tree is a tool that can be used to visualize the important aspects of a problem. this graphical model shows decisions, alternatives, actions, and outcomes. |
1 | 0 | decision tree | a diagram that lays out different branches that are the result of different decisions made or the result of different economic situations. | shows how different decisions during a project's life can affect its value |
1 | 0 | decision tree | represent a hierarchical segmentation of data model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. | a schematic representation of the available alternatives and their possible consequences, useful for analyzing sequential decisions. |
1 | 0 | decision tree | modeling tool used to evaluate independent decisions that must be made in sequence. | a schematic representation of the available alternatives and their possible consequences, useful for analyzing sequential decisions. |
3 | 1 | decision tree | a way to structure multi-stage decision problems that allows us to identify courses of action, consider probability of multiple different states of nature, assess outcomes, and select the best alternative | a simple and visual way of presenting the alternative course of action available when making a decision. it is a mathematical model based on logic and probability. |
1 | 0 | decision tree | enable you to develop classification systems that predict or classify future observations based on a set of decision rules | classification predictive detect criteria for divide pop into classes. two way tables |
0 | 0 | decision tree | hypothesis in the form of a tree, used for classification of instances represented as feature vectors | graphically depicts business processes that usually contain several steps circles represent decisions and squares represent actions |
2 | 1 | decision tree | a diagram of possible alternatives and their expected consequences used to formulate possible courses of actions in order to make decisions. | show complex processes with multiple decision rules. display decision logic (if statements) as set of (nodes) questions and branches (answers). |
3 | 1 | decision tree | a graphical method which aids decision making by identifying and quantifying possible outcomes, probabilities of outcomes and expected values of outcomes | a graph that helps decision makers use probability theory by showing the expected values of decisions in varying circumstances |
1 | 0 | decision tree | special type of a search tree you can use to find a solution to a problem by choosing from alternatives starting from the root node. | decision node: ask q about attribute edges: answer to the question (specific value or range of values). connects to another decision node |
2 | 1 | decision tree | a schematic representation of the available alternatives and their possible consequences, useful for analyzing sequential decisions. | a decision support tool that uses a tree-like model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. |
1 | 0 | decision tree | a mathematical model used to assist a business in making a decision | a schematic model of alternatives available to the decision maker along with their possible consequences. |
1 | 0 | decision tree | • by observing the data and splitting it into sections, rules are created for either prediction or classification problems. • mimics a subject matter expert...pre data mining days. | classification predictive detect criteria for divide pop into classes. two way tables |
0 | 0 | decision tree | hypothesis in the form of a tree, used for classification of instances represented as feature vectors | a graphical presentation of a sequence of interrelated decisions to be made under assume risk. classified specific entities into classes based on its features. |
1 | 0 | decision tree | a graphical presentation of a sequence of interrelated decisions to be made under assume risk. classified specific entities into classes based on its features. | graphically depicts business processes that usually contain several steps circles represent decisions and squares represent actions |
0 | 0 | decision tree | a data mining methodology. a tool used in decision analysis and is another tool used to represent the entity-relationship model. | a decision support tool that uses a tree-like model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. |
2 | 1 | decision tree | represent a hierarchical segmentation of data model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. | a decision support tool that uses a tree-like model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. |
0 | 0 | decision tree | modeling tool used to evaluate independent decisions that must be made in sequence. | a tool that uses tree-like graphs of decisions and possible consequences |
0 | 0 | decision tree | provides a graphical representation of the decision-making process square node - means you need to make a decision | modeling tool used to evaluate independent decisions that must be made in sequence. |
2 | 1 | decision tree | special type of a search tree you can use to find a solution to a problem by choosing from alternatives starting from the root node. | decision trees work by evaluating a question containing a feature at every node and selecting a branch to the next node, based on the answer. |
0 | 0 | decision tree | often tied to the outcome of other events. shows schematic of how things could progress and provides alternatives | a graph that helps decision makers use probability theory by showing the expected values of decisions in varying circumstances |
3 | 1 | decision tree | it recursively divides a training set until each division consist entirely or primarily of examples from one class. | ▪employs the divide and conquer method ▪recursively divides a training set until each division consists of examples from one class |
0 | 0 | decision tree | represent a hierarchical segmentation of data model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. | provides a graphical representation of the decision-making process square node - means you need to make a decision |
2 | 1 | decision tree | a graphical presentation of a sequence of interrelated decisions to be made under assume risk. classified specific entities into classes based on its features. | -acyclic graph to make decision -each node has a feature examined and then path determined -predict class given a feature |
3 | 1 | decision tree | a schematic model of decision making showing the available alternatives for the decision maker including the possible consequences | a schematic model of alternatives available to the decision maker along with their possible consequences. |
1 | 0 | decision tree | a data mining methodology. a tool used in decision analysis and is another tool used to represent the entity-relationship model. | a schematic representation of the available alternatives and their possible consequences, useful for analyzing sequential decisions. |
2 | 1 | decision tree | a graphical representation of the conditions, actions, and rules found in a decision table. | graphical representation of decisions table |
1 | 0 | decision tree | represent a hierarchical segmentation of data model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. | modeling tool used to evaluate independent decisions that must be made in sequence. |
0 | 0 | decision tree | a graph of decisions and their possible consequences; it is used to create a plan to reach a goal | hierarchical arrangement of criteria that predict a classification or value easy to understand easy to implement can deal with partial or incomplete data |
2 | 1 | decision tree | provides a graphical representation of the decision-making process square node - means you need to make a decision | a schematic representation of the available alternatives and their possible consequences, useful for analyzing sequential decisions. |
1 | 0 | decision tree | often tied to the outcome of other events. shows schematic of how things could progress and provides alternatives | map possible outcomes of a series of related choices guides thinking towards desired outcome |
0 | 0 | decision tree | hypothesis in the form of a tree, used for classification of instances represented as feature vectors | built from examples, traversed to draw conclusions based on data divide-and-conquer, greedy search can be viewed as a description of a concept as well as a path to a decision |
1 | 0 | decision tree | special type of a search tree you can use to find a solution to a problem by choosing from alternatives starting from the root node. | nodes represent decision points, and children represent options available |
2 | 1 | decision tree | hierarchical arrangement of criteria that predict a classification or value easy to understand easy to implement can deal with partial or incomplete data | graph of decisions and their possible consequences, used to create a plan to reach a goal a hierarchical arrangement of criteria that predict a classification or a value |
1 | 0 | decision tree | provides a graphical representation of the decision-making process square node - means you need to make a decision | a data mining methodology. a tool used in decision analysis and is another tool used to represent the entity-relationship model. |
1 | 0 | requirements engineering | the processes involved in developing system requirements. | the process of systematically identifying and handling the requirements for a software system |
3 | 1 | requirements engineering | the process of systematically identifying and handling the requirements for a software system | a systematic process of understanding and specifying the solution, and managing the requirements |
Subsets and Splits