![]() ![]() ![]() A _ is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility.ġ2. What is the consequence between a node and its predecessors while creating bayesian network?ĭ) Both Conditionally dependant & Dependantġ1. Which condition is used to influence a variable directly by all the others?ġ0. To which does the local structure is associated?ĩ. How the compactness of the bayesian network can be described?Ĩ. How the bayesian network can be used to answer any query?ħ. How the entries in the full joint probability distribution can be calculated?Ħ. What does the bayesian network provides?ĥ. What is needed to make probabilistic systems feasible in the world?ģ. How many terms are required for building a bayes model?Ģ. Normalization by _ normalizes by moving the decimal point of values of attributes.ģ0._ is a top-down splitting technique based on a specified number of bins.ġ. In _, the attribute data are scaled so as to fall within a smaller range, such as -1.0 to 1.0, or 0.0 to 1.0.Ģ9. ![]() _ partitions the objects into different groups.Ģ8. The values of a _ attribute are symbols or names of things.Ģ6. An _ is a data field, representing a characteristic or feature of a data object.Ģ5. In real world multidimensional view of data mining, The major dimensions are data, knowledge, technologies, and _Ģ4. The data mining process should be highly _Ģ3. _ is the science of searching for documents or information in documents.Ģ2. _ investigates how computers can learn (or improve their performance) based on data.Ģ0. _ studies the collection, analysis, interpretation or explanation, and presentation of data.ġ9. Relational data can be accessed by _ written in a relational query language.ġ8. A _ is a collection of tables, each of which is assigned a unique name which uses the entity-relationship (ER) data model.ġ7. Multiple data sources may be combined is called as _ġ6. To remove noise and inconsistent data _ is needed.ġ5. ![]() In KDD Process, data are transformed and consolidated into appropriate forms for mining by performing summary or aggregation operations is called as _Ī) The actual discovery phase of a knowledge discovery processī) The stage of selecting the right data for a KDD processĬ) A subject-oriented integrated time-variant non-volatile collection of data in support of managementġ4. In KDD Process, where data relevant to the analysis task are retrieved from the database means _ġ1. Data mining turns a large collection of data into _ġ0. Which are not the part of the KDD process from the followingĩ. The number that occurs most often within a set of data called as _Ħ. Which are not related to Ratio Attributes?Ī) Age Group 10-20, 30-50, 35-45 (in Years)Ĥ. B) Knowledge discovery from large databaseģ. ![]()
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