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Analytic model
| Глоссарий по искусственному интеллекту |
In data mining, a structure and process for analyzing and summarizing a database. some examples would include a classification and regression trees (cart) model to classify new observations, or a regression model to predict new values of one (set of) variable(s) given another set. see also: data mining, knowledge discovery in databases.
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Analytic, английский
- That which partakes of the property of analysis, and is reducible thereby.
- Аналитический
Analytic chart, английский
A report type that displays cube data in a visual, interactive chart format.
Analytic completion, английский
Аналитическое расширение
Analytic editing, английский
Where a movie sequence is constructed like an argument rather than a narrative
Analytic editing, английский
Where a movie sequence is constructed like an argument rather than a narrative
Analytic epidemiologic study, английский
A study that evaluates the association between exposure to hazardous substances and disease by testing scientific hypotheses.
Analytic form, английский
Analytic function, английский
Analytic grid, английский
A report type that displays cube data in a visual, interactive tabular format.
Analytic group, английский
Analytic languages, английский
Those languages which use few grammatical morphemes and have a low morpheme to word ratio.
Analytic process, system, английский
Refers to the part of the total testing process that involves measurement and analysis, as opposed to the pre-analytic part that deals with all the steps prior to performing the test and the post-analytic part that deals with all the steps after the test result is once available.
Analytic scoring, английский
Scoring a mark for each component of a task.
Analytic signal, английский
Analytic study, английский
Analytic syntax, английский
Analytic truncation error, английский
Ошибка аналитического усечения
Analytic workspace, английский
Analytic(al) study, английский
Аналитическое исследование исследование, в ходе которого проверяют гипотезу о наличии причинно- следственной связи между заболеванием или состоянием здоровья или другой зависимой переменной и действием определенного фактора.
Analytic-historic network diagram, английский
Аналитико-исторический сетевой график
Summarizing, английский
Repeat back what is said but more briefly, without changing substance or meaning to show the coachee that you are listening to their words (the content), check you have understood, help them to replay and perhaps revise what they said, validate what they have said, and enable you to interrupt smoothly when people are talking too much or repeating themselves see also clarifying, paraphrasing, reflecting/mirroring
Classification, английский
- Assigning data (i e , cases or observations) cases to one of a fixed number of possible classes (represented by a nominal output variable)
- Классификация; систематизация; засекречивание
- Классификация (упорядоченная группировка явлений и объектов; может утверждаться в качестве стандарта, в том числе национального или международного), см. nomenclature
- The work of putting references or components into order so as to be able to refer to them again and identify them easily the abo classification of blood
- Классификация
- N классификация language typological ~ типологическая классификация classificatory a классификационный matrix classifying a классифицирующий article
- The placement of an item under the correct number in the customs tariff for duty purposes. at times this procedure becomes highly complicated; it is not uncommon for importers to resort to litigation over the correct duty to be assessed by the customs on a given item
- Классификация; категоризация; сортировка
- The process of assigning a set of records from a database (observations in a dataset) into (usually) one of ``small" number of pre-specified disjoint categories. related techniques include regression, which predicts a range of values and clustering, which (typically) allows the categories to form themselves. the classification can be "fuzzy" in several senses of the word. in usual sense, the classification technique can allow a single record to belong to multiple (disjoint) categories with a probability (estimated) of being in each class. the categories can also overlap when they are developed either through a hierarchical model or through an agglomerative technique. finally, the classification can be fuzzy in the sense of using "fuzzy logic" techniques. see also: clustering, fuzzy logic, regression. classification and regression trees (cart) classification and regression trees (cart) is a particular form of decision tree used in data mining and statistics.
- Классификация. для порошков (пыли)—разделение образца на фракции по размеру, форме и плотности частиц с помощью жидкости; основано, например, на различной скорости оседания фракций в жидкости или на разном поведении частиц в потоке жидкости.
- A systematic organization of classes.
- The placement of an incident into a hierarchy of descriptors that indicate what the incident is generally about. for example, an incident could be classified as being related to software, and then to microsoft, and then to word 2003.
- The type of updates that sce downloads from microsoft update during synchronization.
- An offender is classified for a particular security level and housed in an appropriate facility based on assessment of their crime, security risk and prison behavior.
- A code which provides a method for categorizing the invention.
- The code for a specific type of complementary work or variation.
- Классификация, номенклатура
Regression, английский
- Statistical technique used to evaluate relationships among variables (22).
- Регрессия
- 1. a stage where symptoms of a disease are disappearing and the person is getting better 2. (in psychiatry) the process of returning to a mental state which existed when the person was younger
- Regression commonly refers to the process of developing an empirical (data-driven) model to predict and/or explain one or more attributes in a database or set of data. it is most frequently associated with the simple linear model (y=mx+b) taught in most introductory statistics courses; the same ideas have been extended in many directions, including classification problems. when the emphasis is on hypothesis testing and simple models, the regression output is typically a few parameters that provide a direct linkage from the input variables to the predicted variables (or classification). in other situations the emphasis is on explaining as much of the variability in the output variables as is "reasonable" from the input variables. in this case, there are a number of "advanced" techniques, such as smoothing splines, decision trees, neural nets, and so forth, for which there are many "free" parameters. the meaning of any one of these parameters can be obscure. many data mining techniques are, at their core, variations on well-known regression techniques. see also: classification, clustering, decision trees, neural nets.
- The reappearance of a previously fixed problem.
- The statistical process of predicting one or more continuous variables, such as profit or loss, based on other attributes in the dataset.
- A mathematical technique used to explain and/or predict. the general form is y = a + bx + u, where y is the variable that we are trying to predict; x is the variable that we are using to predict y, a is the intercept; b is the slope, and u is the regression residual. the a and b are chosen in a way to minimize the squared sum of the residuals. the ability to fit or explain is measured by the r-square.
- A seaward retreat of a shoreline, generally expressed as a seaward
Observations, английский
Замечания эксперта (по существу заявки)
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Spurious correlation, английский
In data mining and other forms of machine learning, the analysis can produce a number of nonsensical or meaningless associations. these can be referred to as "spurious correlations." they can occur as a artifact of the data source (e.g., people with good credit) or as the result of a hidden association with variable (e.g., good credit with ownership of certain items when both are results of a high income) or simply due to chance. some common strategies to reduce the likelihood of their occurrence would be sub-stratification of the data on meaningful attributes, or split-sample techniques and cross-validation. another approach would be to raise the acceptance criteria to filter out more of the noisy associations. see also: simpson`s paradox. stability-plasticity dilemma a phrase referring to the tradeoff between having a machine learning algorithm that is stable in the presence of noisy inputs (stability) and being sensitive to novel inputs (plasticity).
Skolem function, английский
In formal inference, resolution proofs require that existential quantifiers be eliminated. a skolem function allows a system to replace an existentially qualified phrase such as exists(y)[a(x, y)&b(y)] with the phrase a(x, c(x))&b(c(x)), where c(x) is understood to stand for a function of x that returns a value of y satisfying the first clause. see also: resolution.
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