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 |
0 | 0 | mobile device | small computing device capable of wireless connectivity | 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 |
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 |
0 | 0 | data transformation | the process of consolidation data to be suitable for visualization and model generation | to transform and consolidate data into appropriate forms for mining process by performing summary or aggregation operations. |
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 | monitors a laptop or mobile device's battery usage |
1 | 0 | power management | the ability to place computers and devices in low-power states when they are not being used. | to make a device use less power through various methods |
0 | 0 | geographic information systems | an info system which captures, stores, processes, and displays geographic information. | decision support systems designed to analyze spatial info. (location services) |
1 | 0 | geographic information systems | a system that merges maps and statistics to present data collected over different geographies | stores, views, and analyzes geographic data creating, multidimensional charts or maps |
1 | 0 | geographic information systems | a system that merges maps and statistics to present data collected over different geographies | computer programs that organizes, stores, analyzes, and displays geographic data. each layer of information is a thematic layer. |
3 | 1 | geographic information systems | a computer system that analyzes and displays geographic data. ex: mapping crimes | a computer program that stores geographic data and produces maps to show those data |
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 | 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 |
1 | 0 | geographic information systems | - captures, manages, analyzes, and displays multidimensional geographic data, also called geospatial data | a system that merges maps and statistics to present data collected over different geographies |
0 | 0 | design models | constantly consider the customer | identify actual physical principles |
1 | 0 | design models | - show the objects and object classes and relationships between these entities. | design or system models, as i discussed in chapter 5, show the objects or object classes in a system. |
0 | 0 | design models | alternatively or concurrently build prototype to test parameters | create engineering models and metric ranges |
0 | 0 | digital information | -can easily store -instant access to photos and movies -can send info | 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 |
1 | 0 | cognitive load | amount of mental active imposed on working memory | amount of mental resources required to perform a task |
2 | 1 | cognitive load | amount of information that a person can process at any given time | amount of working memory required to achieve a goal: 1. number of choices 2. amount of thought 3. confusion and choice |
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 | nodes with parent/child relationships with other related nodes leading to the root (or hub) |
0 | 0 | hierarchical structure | best for large sites or sites for potential growth | organize webpages into categories and subcategories by level of detail |
0 | 0 | hierarchical structure | nodes with parent/child relationships with other related nodes leading to the root (or hub) | 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 | the homepage links to pages dedicated to specific pages |
3 | 1 | hierarchical structure | 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 | used for asymmetric encryption it is the key used to encrypt a message | an asymmetric encryption key that does not have to be protected. |
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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