Four-class labels
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1 | 0 |
mobile device
|
- a single, sealed unit - runs a specific mobile os (embedded system) - wireless connectivity (802.11, bluetooth, zigbee)
|
have less processing speed than desktop but measured in ghz. they also have less storage space. yes they are portable
|
2 | 1 |
mobile device
|
a small, lightweight, power-conserving, computing device that is capable of wireless connectivity.
|
small computing device capable of wireless connectivity
|
3 | 1 |
mobile device
|
handheld computers, such as smartphones or tablets.
|
device such as a smartphone or tablet computer
|
0 | 0 |
mobile device
|
small computing device capable of wireless connectivity
|
a small, lightweight device running a mobile operating system
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0 | 0 |
mobile device
|
small computing device capable of wireless connectivity
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a device with a capability to run network-based applications over a cellular or satellite data link
|
1 | 0 |
mobile device
|
a small, lightweight, power-conserving, computing device that is capable of wireless connectivity.
|
a small, lightweight device running a mobile operating system
|
1 | 0 |
mobile device
|
a small, lightweight device running a mobile operating system
|
a device with a capability to run network-based applications over a cellular or satellite data link
|
1 | 0 |
state information
|
recovery from failure can involve this about status of each remote request
|
data about a network connection that is typically kept in a state table. used to resume connections
|
0 | 0 |
state information
|
data about a network connection that is typically kept in a state table.
|
recovery from failure can involve this about status of each remote request
|
3 | 1 |
task performance
|
-universal term for occupation -includes adl, work, productive activities, education, leisure/play, social participation
|
-universal term used in place of occupation -tasks include adl, work, productive ax, education, leisure/play, & social participation
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2 | 1 |
task performance
|
-occurs when employees perform actions that transform raw materials into goods and services -most obvious -declarative knowledge -procedural knowledge and skill
|
occurs when employees perform actions that transform raw materials into goods and services when they have appropriate knowledge, skill and motivation (elements of job performance)
|
1 | 0 |
window size
|
as the protocol operates, this window slides forward over the sequence number space. for this reason, n is often referred to as
|
limits the number of frames transmitted before an ack is received
|
0 | 0 |
window size
|
the maximum allowed time span of any one element of the sequence
|
limits the number of frames transmitted before an ack is received
|
1 | 0 |
window size
|
as the protocol operates, this window slides forward over the sequence number space. for this reason, n is often referred to as
|
the amount of data that a tcp host declares it can store in its memory buffer send window: sending data receive window: receiving data
|
0 | 0 |
window size
|
the amount of data that a tcp host declares it can store in its memory buffer send window: sending data receive window: receiving data
|
the maximum allowed time span of any one element of the sequence
|
0 | 0 |
window size
|
the amount of data that a tcp host declares it can store in its memory buffer send window: sending data receive window: receiving data
|
limits the number of frames transmitted before an ack is received
|
1 | 0 |
window size
|
as the protocol operates, this window slides forward over the sequence number space. for this reason, n is often referred to as
|
the maximum allowed time span of any one element of the sequence
|
2 | 1 |
data transformation
|
-smoothing -aggregation -generalization -normalization
|
normalization and aggregation
|
3 | 1 |
data transformation
|
includes normalizing data, discretizing/aggregating data, and constructing new attributes
|
-normalize data -discretize/aggregate data -construct new attributes
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0 | 0 |
data transformation
|
the process of consolidation data to be suitable for visualization and model generation
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to transform and consolidate data into appropriate forms for mining process by performing summary or aggregation operations.
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3 | 1 |
data transformation
|
transforms the data for storing it in the proper format or structure for the purposes of querying and analysis.
|
process of changing the data from their original form to a format suitable for performing a data analysis addressing research objectives.
|
1 | 0 |
classification method
|
this method evaluates jobs based on predetermined job grades.
|
whole job basis, predefined class descriptions. a job is placed in classification which best describes it. frequently used in public sector
|
1 | 0 |
power management
|
the process of balancing battery life against performance
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monitors a laptop or mobile device's battery usage
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1 | 0 |
power management
|
the ability to place computers and devices in low-power states when they are not being used.
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to make a device use less power through various methods
|
0 | 0 |
geographic information systems
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an info system which captures, stores, processes, and displays geographic information.
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decision support systems designed to analyze spatial info. (location services)
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1 | 0 |
geographic information systems
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a system that merges maps and statistics to present data collected over different geographies
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stores, views, and analyzes geographic data creating, multidimensional charts or maps
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1 | 0 |
geographic information systems
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a system that merges maps and statistics to present data collected over different geographies
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computer programs that organizes, stores, analyzes, and displays geographic data. each layer of information is a thematic layer.
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3 | 1 |
geographic information systems
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a computer system that analyzes and displays geographic data. ex: mapping crimes
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a computer program that stores geographic data and produces maps to show those data
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1 | 0 |
geographic information systems
|
a computer system that analyzes and displays geographic data. ex: mapping crimes
|
a system that merges maps and statistics to present data collected over different geographies
|
1 | 0 |
geographic information systems
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a system that merges maps and statistics to present data collected over different geographies
|
a computer program that stores geographic data and produces maps to show those data
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1 | 0 |
geographic information systems
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- captures, manages, analyzes, and displays multidimensional geographic data, also called geospatial data
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a system that merges maps and statistics to present data collected over different geographies
|
0 | 0 |
design models
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constantly consider the customer
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identify actual physical principles
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1 | 0 |
design models
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- show the objects and object classes and relationships between these entities.
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design or system models, as i discussed in chapter 5, show the objects or object classes in a system.
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0 | 0 |
design models
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alternatively or concurrently build prototype to test parameters
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create engineering models and metric ranges
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0 | 0 |
digital information
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-can easily store -instant access to photos and movies -can send info
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less susceptible to noise so analog info can be translated into digital using an a-to-d converter
|
2 | 1 |
cognitive load
|
the amount of a person's cognitive resources needed to carry out a particular cognitive task.
|
amount of mental active imposed on working memory
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1 | 0 |
cognitive load
|
amount of mental active imposed on working memory
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amount of mental resources required to perform a task
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2 | 1 |
cognitive load
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amount of information that a person can process at any given time
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amount of working memory required to achieve a goal: 1. number of choices 2. amount of thought 3. confusion and choice
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1 | 0 |
hierarchical structure
|
a method of structuring data so an individual element (a node) can link to other nodes, forming a series of one-to-many relationships
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nodes with parent/child relationships with other related nodes leading to the root (or hub)
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0 | 0 |
hierarchical structure
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best for large sites or sites for potential growth
|
organize webpages into categories and subcategories by level of detail
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0 | 0 |
hierarchical structure
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nodes with parent/child relationships with other related nodes leading to the root (or hub)
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used for structured, routine types of transaction processing
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1 | 0 |
hierarchical structure
|
most commonly used section pages break up/organize content at different levels site map allows user to nav freely
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the homepage links to pages dedicated to specific pages
|
3 | 1 |
hierarchical structure
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structure where a single entity has several children like a pedigree
|
a structure, like a pedigree chart where a single entity has several children each of which can also have children
|
0 | 0 |
hierarchical structure
|
a method of structuring data so an individual element (a node) can link to other nodes, forming a series of one-to-many relationships
|
used for structured, routine types of transaction processing
|
1 | 0 |
hierarchical structure
|
most commonly used section pages break up/organize content at different levels site map allows user to nav freely
|
organize webpages into categories and subcategories by level of detail
|
2 | 1 |
public key
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used for asymmetric encryption it is the key used to encrypt a message
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an asymmetric encryption key that does not have to be protected.
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1 | 0 |
public key
|
a key that is public and it's used to encrypt a message
|
involves the use of two values called keys, and is used to encrypt messages and decrypt messages.
|
3 | 1 |
public key
|
a value that can be used to encrypt a message; message can be decrypted only when combined w/ a mathematically-related private key
|
a value that can be used to encrypt a message. however, only when combined with a mathematically-related private key, can the message be decrypted. (symmetric)
|
1 | 0 |
public key
|
information produced using the private key but transformed in such a way that it's difficult to determine the private key
|
one of the keys used in asymmetric encryption systems. it is widely distributed and available to everyone.
|
0 | 0 |
public key
|
key encryption that uses two different keys relatively easy to distribute keys
|
part of a matched key pair used in asymmetric encryption. the public key is publicly available
|
0 | 0 |
public key
|
a key that is made available to whoever is going to encrypt the data sent to the holder of a private key.
|
one of the keys used in asymmetric encryption systems. it is widely distributed and available to everyone.
|
1 | 0 |
public key
|
value used in public key cryptography that is used for encryption and signature validation that can be known by all parties.
|
every user has a private key and a public key encryption is done using a public key and decrypted using a private key known as two-key/asymmetric-key cryptography
|
2 | 1 |
public key
|
a key that is made available to whoever is going to encrypt the data sent to the holder of a private key.
|
key encryption that uses two different keys relatively easy to distribute keys
|
3 | 1 |
public key
|
a value that can be used to encrypt a message; message can be decrypted only when combined w/ a mathematically-related private key
|
a value that can be used to encrypt a message. however, it can only be decrypted if combined with the private key (asymmetric).
|
1 | 0 |
public key
|
information produced using the private key but transformed in such a way that it's difficult to determine the private key
|
part of a matched key pair used in asymmetric encryption. the public key is publicly available
|
3 | 1 |
public key
|
a value that can be used to encrypt a message. however, it can only be decrypted if combined with the private key (asymmetric).
|
can be used to encrypt a message, but requires the private key to read it
|
3 | 1 |
public key
|
a value that can be used to encrypt a message. however, only when combined with a mathematically-related private key, can the message be decrypted. (symmetric)
|
a value that can be used to encrypt a message. however, it can only be decrypted if combined with the private key (asymmetric).
|
3 | 1 |
public key
|
a value that can be used to encrypt a message; message can be decrypted only when combined w/ a mathematically-related private key
|
can be used to encrypt a message, but requires the private key to read it
|
0 | 0 |
public key
|
a key that is public and it's used to encrypt a message
|
can be used to encrypt a message, but requires the private key to read it
|
1 | 0 |
public key
|
an encryption key, used in asymmetric cryptography, combined with a private key to effectively facilitate communication.
|
value used in public key cryptography that is used for encryption and signature validation that can be known by all parties.
|
1 | 0 |
public key
|
information produced using the private key but transformed in such a way that it's difficult to determine the private key
|
key encryption that uses two different keys relatively easy to distribute keys
|
2 | 1 |
public key
|
involves the use of two values called keys, and is used to encrypt messages and decrypt messages.
|
can be used to encrypt a message, but requires the private key to read it
|
1 | 0 |
public key
|
used to encrypt messages
|
can be distributed to anyone who wishes to send you a message and is used key to encrypt the data.
|
0 | 0 |
public key
|
a value that can be used to encrypt a message; message can be decrypted only when combined w/ a mathematically-related private key
|
involves the use of two values called keys, and is used to encrypt messages and decrypt messages.
|
1 | 0 |
public key
|
a value that can be used to encrypt a message. however, only when combined with a mathematically-related private key, can the message be decrypted. (symmetric)
|
involves the use of two values called keys, and is used to encrypt messages and decrypt messages.
|
3 | 1 |
public key
|
a public code linked to a corresponding private key.
|
a code used to encrypt/decrypt data that can be made public and is linked to a corresponding private key.
|
0 | 0 |
public key
|
information produced using the private key but transformed in such a way that it's difficult to determine the private key
|
a key that is made available to whoever is going to encrypt the data sent to the holder of a private key.
|
2 | 1 |
public key
|
a value that can be used to encrypt a message. however, it can only be decrypted if combined with the private key (asymmetric).
|
involves the use of two values called keys, and is used to encrypt messages and decrypt messages.
|
1 | 0 |
material properties
|
-bulk vs. surface properties -depends not only on composition but also on how molecules are arranged -intrinsic properties -extrinsic properties
|
1) mechanical properties that depend on material type only 2) stress strain
|
0 | 0 |
material properties
|
the different properties of a material such as the ambient component, diffuse component and specular component in the reflection-illumination model.
|
-bulk vs. surface properties -depends not only on composition but also on how molecules are arranged -intrinsic properties -extrinsic properties
|
2 | 1 |
material properties
|
1) mechanical properties that depend on material type only 2) stress strain
|
1) mechanical properties 2) physical properties
|
1 | 0 |
material properties
|
-bulk vs. surface properties -depends not only on composition but also on how molecules are arranged -intrinsic properties -extrinsic properties
|
1) mechanical properties 2) physical properties
|
1 | 0 |
logistic regression
|
allows prediction of a discrete outcome from a set of variables that may be discrete, continuous, dichotomous or a combo
|
1) binary or categorical variable 2) independent observations 3) chi-square test assumes sufficient numbers in each cell (>=5)
|
0 | 0 |
logistic regression
|
predict probability of a categorical variable predict if something is true or false instead of a continuous measurement fit data into and s-curve logistic function
|
an algebraic function that is used to relate any and all independent variables to the expected dependent variable.
|
3 | 1 |
logistic regression
|
a type of regression model used to describe data and to explain the relationship between one dependent binary variable and one or more nominal, ordinal, interval or ratio-level independent variables.
|
used to describe data and to explain the relationship between one dependent binary variable and one or more nominal, ordinal, interval or ratio-level independent variables, for probability e.g. exponential(.)/(1+exponential(.))
|
1 | 0 |
logistic regression
|
model where the dependent variable is categorical. estimates the probability of a relationship between a categorical variable and one or more independent variables
|
predict probability of a categorical variable predict if something is true or false instead of a continuous measurement fit data into and s-curve logistic function
|
1 | 0 |
logistic regression
|
allows prediction of a discrete outcome from a set of variables that may be discrete, continuous, dichotomous or a combo
|
an algebraic function that is used to relate any and all independent variables to the expected dependent variable.
|
2 | 1 |
logistic regression
|
estimates a probability that the outcome variable assumes a certain value
|
used when you want to use predictor variables but you don't have a discrete criterion variable; allows you to identify factors
|
1 | 0 |
logistic regression
|
variation of ordinary regression in which dependent variable is categorical y=1 (suceess) y=0 (failure)
|
estimates the probability of belonging to a category using a regression on the predictor variables
|
0 | 0 |
logistic regression
|
the outcome (dependent variable) has only a limited number of possible values... used when the response variable is of a categorical nature.
|
predict probability of a categorical variable predict if something is true or false instead of a continuous measurement fit data into and s-curve logistic function
|
0 | 0 |
logistic regression
|
-coeffs are estimated using a technique called maximum likelihood estimation
|
a method of classification: the model outputs the probability of a categorical target variable y belonging to a certain class.
|
2 | 1 |
logistic regression
|
can have categorical or continuous predictor variable, but has a categorical response variable.
|
describes the relationship between a categorical response variable and a set of predictor variables
|
0 | 0 |
logistic regression
|
pairwise regression. logistic probability unit (logit) is computed of the ratio of the probability of class a over class b. minimize the mean square error. maximize log-likelihood
|
outputs a value that corresponds to the probability of belonging to a class, used for classification
|
1 | 0 |
logistic regression
|
outputs a value that corresponds to the probability of belonging to a class, used for classification
|
-coeffs are estimated using a technique called maximum likelihood estimation
|
0 | 0 |
logistic regression
|
an algebraic function that is used to relate any and all independent variables to the expected dependent variable.
|
shows correlation and does not establish causation between independent predictor variable and dependent categorical variables
|
1 | 0 |
logistic regression
|
model where the dependent variable is categorical. estimates the probability of a relationship between a categorical variable and one or more independent variables
|
allows prediction of a discrete outcome from a set of variables that may be discrete, continuous, dichotomous or a combo
|
0 | 0 |
logistic regression
|
the dependent variable is dichotomous
|
predictive analysis for a dichotomous dependent (outcome) variable.
|
0 | 0 |
logistic regression
|
1) binary or categorical variable 2) independent observations 3) chi-square test assumes sufficient numbers in each cell (>=5)
|
extends the ideas of linear regression to the situation where the dependent variable, y, is categorical. we can think of a categorical variable as dividing the observations into classes.
|
1 | 0 |
logistic regression
|
allows prediction of a discrete outcome from a set of variables that may be discrete, continuous, dichotomous or a combo
|
extends the ideas of linear regression to the situation where the dependent variable, y, is categorical. we can think of a categorical variable as dividing the observations into classes.
|
0 | 0 |
logistic regression
|
the outcome (dependent variable) has only a limited number of possible values... used when the response variable is of a categorical nature.
|
extends the ideas of linear regression to the situation where the dependent variable, y, is categorical. we can think of a categorical variable as dividing the observations into classes.
|
0 | 0 |
logistic regression
|
the outcome (dependent variable) has only a limited number of possible values... used when the response variable is of a categorical nature.
|
allows prediction of a discrete outcome from a set of variables that may be discrete, continuous, dichotomous or a combo
|
2 | 1 |
logistic regression
|
models the probability that y belongs to a particular category. always produces an s-shaped curve.
|
a method of classification: the model outputs the probability of a categorical target variable y belonging to a certain class.
|
0 | 0 |
logistic regression
|
estimates the probability of belonging to a category using a regression on the predictor variables is variation of linear regression in which the dependent variable is categorical.
|
variation of ordinary regression in which dependent variable is categorical y=1 (suceess) y=0 (failure)
|
3 | 1 |
logistic regression
|
predicts the probability of a particular level of the target variable at the given value of the input variable linear classification binary variables
|
-linear classification -binary dependent variable -predicts the probability of a particular level of a target variable at the given value of the input variable
|
0 | 0 |
logistic regression
|
extends the ideas of linear regression to the situation where the dependent variable, y, is categorical. we can think of a categorical variable as dividing the observations into classes.
|
shows correlation and does not establish causation between independent predictor variable and dependent categorical variables
|
0 | 0 |
logistic regression
|
the outcome (dependent variable) has only a limited number of possible values... used when the response variable is of a categorical nature.
|
1) binary or categorical variable 2) independent observations 3) chi-square test assumes sufficient numbers in each cell (>=5)
|
2 | 1 |
logistic regression
|
predicting an outcome variable from multiple independent variables where the outcome variable is nominal, and the independent variables are nominal, interval, or ratio
|
a multivariate regression procedure that analyzes relationships between one or more independent variables and a categorical dependent variable.
|
1 | 0 |
logistic regression
|
-to estimate class probability -most efficient algorithm and requires minimum computation -model produces a numeric estimate, but the values of the target variable are categorical -it is a classifier
|
builds linear model for transformed target variable, attempts of produce accurate probability estimates by maximizing probability of training data
|
1 | 0 |
logistic regression
|
special form of regression in which the dependent variable a nonmetric, dichotomous (binary) variable. although some differences exist, the general manner of interpretation is quite similar to linear regression.
|
special form of regression in which the dependent variable is a nonmetric binary variable
|
0 | 0 |
logistic regression
|
a nonlinear regression model that relates a set of explanatory variables to a dichotomous dependent variable (binary).
|
1 dependent variable (binary categorical variable), 2+ independent variable(s) (continuous or discrete variables)
|
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