Four-class labels
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1 | 0 |
open source
|
this is code that can be changed and edited legally, however it is not nallowed to be resold.
|
grants ownership source code must be freely available can be modified and redistributed ex. firefox
|
3 | 1 |
open source
|
software whose source code is freely available and may be used, distributed, or modified by anyone.
|
software whose source code is freely available and can be changed and distributed.
|
0 | 0 |
open source
|
software licensed to the developer community to be further developed, shared, and sometimes marketing depending on the license agreement.
|
no license fee, available to the public; succeeds because of collaboration
|
2 | 1 |
open source
|
a free and openly distributed software program intended to allow users to improve upon and further develop the program.
|
free distribution of the operating system code and encouraged others to modify and further develop the code
|
3 | 1 |
open source
|
source code for an application is available to the public for free, and can be modified to fix specific needs without paying a fee.
|
computer software where the source code is made available for use and/or modification without charge.
|
1 | 0 |
open source
|
software with source code that is released under license (e.g. creative commons)
|
no license fee, available to the public; succeeds because of collaboration
|
3 | 1 |
open source
|
software that can be freely used, changed, and shared (in modified or unmodified form) by anyone.
|
grants ownership source code must be freely available can be modified and redistributed ex. firefox
|
3 | 1 |
open source
|
program whose source code is made available for use or modification as user or other developers see fit
|
kind of software whose code is provided for use, modification, and redistribution
|
3 | 1 |
open source
|
any software whose source code is made available free (not on a fee or licensing basis as in ebusiness) for any third party to review and modify
|
software whose source code is made available free for any third party to review and modify
|
1 | 0 |
information sources
|
refer to people, groups, and records from which data is gathered
|
various means by which information is recorded for use by an individual or an organization
|
0 | 0 |
information sources
|
are the producers or givers of information and these sources also serve as the means by which people record information for future consumption
|
various means by which information is recorded for use by an individual or an organization
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0 | 0 |
information sources
|
are the producers or givers of information and these sources also serve as the means by which people record information for future consumption
|
company websites product, management
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0 | 0 |
information sources
|
various means by which information is recorded for use by an individual or an organization
|
the producers or givers of information
|
0 | 0 |
information sources
|
refer to people, groups, and records from which data is gathered
|
the producers or givers of information
|
1 | 0 |
information sources
|
are the producers or givers of information and these sources also serve as the means by which people record information for future consumption
|
refer to people, groups, and records from which data is gathered
|
0 | 0 |
classification problems
|
labeling a specific example as part of a discrete step
|
tax fraud, fraud detection, direct marketing, text categorization
|
0 | 0 |
classification problems
|
predict discrete-valued output
|
small number of discrete values
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2 | 1 |
background knowledge
|
your personal experiences, what you already know.
|
what you already know about a topic based on your reading and personal experience
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2 | 1 |
background knowledge
|
what you already know about a topic.
|
what you know about a topic not comprehend reading if lack background knowledge foundation greater knowledge can be built
|
3 | 1 |
background knowledge
|
what you know about a topic - foundation upon which greater knowledge can be built - students will not comprehend what they are reading if they lack essential background knowledge
|
what you know about a topic not comprehend reading if lack background knowledge foundation greater knowledge can be built
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2 | 1 |
background knowledge
|
what a person knows about a topic; students will not comprehend what they are reading if they lack essential background knowledge
|
a specific subset of knowledge needed to comprehend a particular situation, lesson, or text.
|
1 | 0 |
false positives
|
when a vulnerability is incorrectly identified. false positives from an ids can cause an increased workload because they falsely indicate an alert has occurred.
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an alert on an event that isn't a security incident. as an example, occurs if the nids raises an alert but activity on the network is normal.
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3 | 1 |
false positives
|
a vulnerability is identified that doesn't really exist
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term for when a reported vulnerabilities are not real. wastes time to determine this and causes frustration.
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1 | 0 |
false positives
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when a vulnerability is incorrectly identified. false positives from an ids can cause an increased workload because they falsely indicate an alert has occurred.
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a report that isn't true... a false alarm.
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1 | 0 |
false positives
|
alarms generated by legitimate network traffic rather than actual attacks.
|
a report that isn't true... a false alarm.
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2 | 1 |
false positives
|
an alert on an event that isn't a security incident. as an example, occurs if the nids raises an alert but activity on the network is normal.
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alarms generated by legitimate network traffic rather than actual attacks.
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2 | 1 |
false positives
|
case of mistaken identity and there was not an intrusion at all
|
legitimate activity identified as an intrusion
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0 | 0 |
false positives
|
results of keyword searches that contain the correct match but aren't relevant to the investigation
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mistakes made by an heruistic analysis making an alright file seem bad
|
2 | 1 |
intelligent systems
|
commercial applications of ai (sensors, software, etc.) that emulate and enhance human capabilities.
|
various commercial applications of artificial intelligence
|
1 | 0 |
intelligent systems
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receive data from the environment and react. ai artificial intelligence
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various commercial applications of artificial intelligence
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0 | 0 |
intelligent systems
|
receive data from the environment and react. ai artificial intelligence
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-commercial applications of ai -sensors, software and devices
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1 | 0 |
intelligent systems
|
commercial applications of ai (sensors, software, etc.) that emulate and enhance human capabilities.
|
receive data from the environment and react. ai artificial intelligence
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2 | 1 |
intelligent systems
|
-commercial applications of ai -sensors, software and devices
|
various commercial applications of artificial intelligence
|
2 | 1 |
spatial relations
|
- ability to perceive self in relation to other objects - deficit: same as position in space
|
knowing where an object is in relation to self and others
|
2 | 1 |
spatial relations
|
- ability to perceive self in relation to other objects - deficit: same as position in space
|
ability to perceive the position of objects in space, particularly as they relate to the position of the body.
|
3 | 1 |
spatial relations
|
ability to percieve the position of an object in relation to other objects
|
knowing where an object is in relation to self and others
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0 | 0 |
business process
|
a network of activities that generate value by transforming inputs into outputs
|
consists of 1 or more activities; usually a single business process relates to 1 or more information systems
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1 | 0 |
business process
|
a network of activities that generate value by transforming inputs into outputs
|
a network of activities for accomplishing a business function.
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1 | 0 |
business process
|
a network of activities for accomplishing a business function.
|
structured set of activities or steps with specified outcomes - processes involve many organization functions - every process has structural and resource constraints limiting output
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1 | 0 |
business process
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consists of 1 or more activities; usually a single business process relates to 1 or more information systems
|
structured set of activities or steps with specified outcomes - processes involve many organization functions - every process has structural and resource constraints limiting output
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1 | 0 |
business process
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a network of activities that generate value by transforming inputs into outputs
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structured set of activities or steps with specified outcomes - processes involve many organization functions - every process has structural and resource constraints limiting output
|
2 | 1 |
business process
|
a sequence of work steps performed in order to produce a desired result for the organization
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a set of related policies and procedures that are performed step by step to accomplish a business-related function.
|
1 | 0 |
business process
|
a network of activities for accomplishing a business function.
|
consists of 1 or more activities; usually a single business process relates to 1 or more information systems
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1 | 0 |
business process
|
a coordinated set of collaborative and transactional work activities carried out to complete work steps.
|
• collection of activities required to produce a product or service. (conduct business) • process improvement / quality control (om/or)
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2 | 1 |
business process
|
standardized set of activities that accomplish a specific task
|
is a series of tasks or activities grouped to achieve a business function or goal
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2 | 1 |
business process
|
set of related, coordinated and structured activities that are usually performed by people and/or machines to accomplish a specific objective
|
logically related tasks and behaviors for accomplishing work.
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0 | 0 |
business process
|
a network of activities that generate value by transforming inputs into outputs
|
network of activities, resources, facilities, and information that accomplish a business function - more specifically, a business process implements value chains or portions of the value chain
|
2 | 1 |
business process
|
is a series of tasks or activities grouped to achieve a business function or goal
|
a standardized set of activities that accomplish a specific task, such as completing a customers order
|
2 | 1 |
data processing
|
process if making the data more suitable for data mining
|
the collection, storage, transformation, and delivery of data for the purpose of providing information
|
1 | 0 |
data processing
|
organising data to reveal patterns or as complex as making forecasts or drawing inferences using statistical modelling
|
process if making the data more suitable for data mining
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1 | 0 |
data processing
|
a systematic procedure to ensure that the data gathered which can be more easily encoded, counted and tabulated
|
systematic procedure to ensure that the information/dta gathered are complete, consistent and suitable for data analysis
|
2 | 1 |
data processing
|
organization of data for the purpose of producing desired information; involves collecting / recording, organizing / classifying, sorting, summarizing, analyzing / calculating, disseminating and storing data.
|
organization of data for the purpose of producing desired information; involves recording, classifying, sorting, summarizing, calculating, disseminating and storing data.
|
1 | 0 |
data processing
|
• a systematic procedure to ensure that the data gathered are complete, consistent and suitable for data analysis • data coding → data encoding → data editing
|
a systematic procedure to ensure that the data gathered which can be more easily encoded, counted and tabulated
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0 | 0 |
data processing
|
an important element of information management, but it is just one part of a larger whole
|
analyzing collected facts and figures and putting them into formats useful to a business
|
2 | 1 |
data processing
|
the conversion of data into information
|
a series of operations on data, especially by a computer, to retrieve, transform, or classify information.
|
0 | 0 |
data processing
|
article 4(2) of the gdpr defines any operation performed upon data, and its comprises / contains the many possible actions in the data lifecycle
|
organising data to reveal patterns or as complex as making forecasts or drawing inferences using statistical modelling
|
0 | 0 |
data processing
|
organising data to reveal patterns or as complex as making forecasts or drawing inferences using statistical modelling
|
the collection, storage, transformation, and delivery of data for the purpose of providing information
|
3 | 1 |
data processing
|
systematic procedure that ensure that data gathered are consistent, complete and suitable for data analysis
|
systematic procedure to ensure that the information/dta gathered are complete, consistent and suitable for data analysis
|
0 | 0 |
data processing
|
an important element of information management, but it is just one part of a larger whole
|
converting facts and figures into useful information
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3 | 1 |
data processing
|
converting facts and figures into useful information
|
analyzing collected facts and figures and putting them into formats useful to a business
|
3 | 1 |
data processing
|
converting facts and figures into useful information
|
is a process of transforming data into useful and meaningful information. it involves the gathering of facts and have them converted into useful information.
|
0 | 0 |
data processing
|
updating data, changing data, adding data, deleting data
|
capturing and storing of data.
|
0 | 0 |
data processing
|
an important element of information management, but it is just one part of a larger whole
|
is a process of transforming data into useful and meaningful information. it involves the gathering of facts and have them converted into useful information.
|
2 | 1 |
data processing
|
transformation of data into a form that is used for a specific purpose.
|
a series of operations on data, especially by a computer, to retrieve, transform, or classify information.
|
2 | 1 |
data processing
|
the conversion of data into information
|
transformation of data into a form that is used for a specific purpose.
|
1 | 0 |
data processing
|
• a systematic procedure to ensure that the data gathered are complete, consistent and suitable for data analysis • data coding → data encoding → data editing
|
systematic procedure that ensure that data gathered are consistent, complete and suitable for data analysis
|
2 | 1 |
data processing
|
analyzing collected facts and figures and putting them into formats useful to a business
|
is a process of transforming data into useful and meaningful information. it involves the gathering of facts and have them converted into useful information.
|
2 | 1 |
data processing
|
this stage of the research process involves the organization of the collected information as well as the elimination of unnecessary and problematic ones
|
a cycle of events identified as input, process, and output that transforms raw facts and isolated figures into useful information
|
0 | 0 |
data processing
|
a group that manages the computer resources used to perform the day-to-day processing of transactions e.g. transferring the journal entry to the ledger
|
doing something to data to make them more useful
|
1 | 0 |
data processing
|
article 4(2) of the gdpr defines any operation performed upon data, and its comprises / contains the many possible actions in the data lifecycle
|
the collection, storage, transformation, and delivery of data for the purpose of providing information
|
1 | 0 |
main advantages
|
- participation - cost-efffective - quicker - private
|
- private - quick - cheap - protects relationship - able to use any time
|
1 | 0 |
main advantages
|
- cheap - quick - control - private - enforced through courts
|
- private - quick - cheap - protects relationship - able to use any time
|
1 | 0 |
main advantages
|
- participation - cost-efffective - quicker - private
|
- cheap - quick - control - private - enforced through courts
|
0 | 0 |
semantic gap
|
the difference between the operations provided in hlls (high-level languages) and those provided in computer architecture
|
difference between how something is categorized, categories vs binary of encoded image.
|
1 | 0 |
semantic gap
|
the difference between the operations provided in hlls (high-level languages) and those provided in computer architecture
|
huge gap between the semantic idea of an object and the primitives that the computer can see.
|
1 | 0 |
instruction level parallelism
|
modern processors can execute multiple instructions per cycle
|
one cpu executing within one program on the same computer
|
1 | 0 |
instruction level parallelism
|
seeks to increase the rate at which instructions are executed within a cpu
|
modern processors can execute multiple instructions per cycle
|
0 | 0 |
instruction level parallelism
|
seeks to increase the rate at which instructions are executed within a cpu
|
one cpu executing within one program on the same computer
|
0 | 0 |
instruction level parallelism
|
a property of the program itself where execution can be overlapped if instructions in a sequence are independent however this is governed by data and procedural dependency
|
one cpu executing within one program on the same computer
|
1 | 0 |
instruction level parallelism
|
seeks to increase the rate at which instructions are executed within a cpu
|
a property of the program itself where execution can be overlapped if instructions in a sequence are independent however this is governed by data and procedural dependency
|
0 | 0 |
instruction level parallelism
|
modern processors can execute multiple instructions per cycle
|
a property of the program itself where execution can be overlapped if instructions in a sequence are independent however this is governed by data and procedural dependency
|
1 | 0 |
face recognition
|
feature net models explain much of how we recognize texts *faces are different
|
automatic process to find faces in objects, infants prefer looking at faces; cross race effect = easier to recognize images of people of your own race
|
1 | 0 |
face recognition
|
- rbc is insufficient to support face recognition - rbv is required to notice certain faces as unique
|
face recognition, in contrast, does not depend on an inventory of a face's parts; instead, this recognition seems to depend on holistic perception of the face.
|
1 | 0 |
face recognition
|
- ability to recognize familiar faces
|
feature net models explain much of how we recognize texts *faces are different
|
1 | 0 |
face recognition
|
- ability to recognize familiar faces
|
automatic process to find faces in objects, infants prefer looking at faces; cross race effect = easier to recognize images of people of your own race
|
1 | 0 |
face recognition
|
-biological basis -faces processed holistically (identify fts. and put them together)
|
feature net models explain much of how we recognize texts *faces are different
|
2 | 1 |
data source
|
a file containing variable data used for customizing a mail merge document.
|
a list of information that is merged with a main document during a mail merge procedure
|
1 | 0 |
data source
|
this is where data comes from in computing terms (two words)
|
the table or tables from which query gets its data. maybe from another program such as excel
|
0 | 0 |
data source
|
a map element that provides an attribution describing where the data can be found
|
defined in the source system and is then duplicated in the data warehouse. often must be cleansed and harmonized, corrected.
|
1 | 0 |
data source
|
a resource on a network that includes a database and the drivers required to interface between a remote computer and the data.
|
connection to database also persistance
|
3 | 1 |
data source
|
a file containing variable data used for customizing a mail merge document.
|
a file that contains information to be merged in the main document during a mail merge
|
0 | 0 |
data source
|
defined in the source system and is then duplicated in the data warehouse. often must be cleansed and harmonized, corrected.
|
a data source is the internal representation of an external source of data for a specific source system.
|
2 | 1 |
data source
|
a list of information that is merged with a main document during a mail merge procedure
|
a file that contains information to be merged in the main document during a mail merge
|
2 | 1 |
data source
|
the entity that produces or sends the data that is entered into a system.
|
the source of the data or information. usually in the form of files.
|
1 | 0 |
data source
|
the source of the data or information. usually in the form of files.
|
a data source is the internal representation of an external source of data for a specific source system.
|
1 | 0 |
data source
|
data source the table or tables from which a query, form, or report retrieves its data.
|
the description and location of master data from database tables, flat files or other data sources
|
1 | 0 |
data source
|
the entity that produces or sends the data that is entered into a system.
|
defined in the source system and is then duplicated in the data warehouse. often must be cleansed and harmonized, corrected.
|
1 | 0 |
data source
|
the entity that produces or sends the data that is entered into a system.
|
a data source is the internal representation of an external source of data for a specific source system.
|
0 | 0 |
data source
|
a resource on a network that includes a database and the drivers required to interface between a remote computer and the data. also see open database connectivity (odbc).
|
connection to database also persistance
|
0 | 0 |
data source
|
the entity that produces or sends the data that is entered into a system.
|
a map element that provides an attribution describing where the data can be found
|
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