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............................. are designed to overcome any limitations placed on the warehouse by the nature of the...

Last updated: Wed, 26 Nov

The biggest drawback of the level indicator in the classic star schema is that is limits ............

Last updated: Wed, 26 Nov

................... are responsible for running queries and reports against data warehouse tables.

Last updated: Wed, 26 Nov

Data warehouse contains ................ data that is never found in the operational environment.

Last updated: Wed, 26 Nov

Business Intelligence and data warehousing is used for ..............

Last updated: Wed, 26 Nov

A data warehouse is ......................

Last updated: Wed, 26 Nov

The data from the operational environment enter ........................ of data warehouse.

Last updated: Wed, 26 Nov

The core of the multidimensional model is the ....................... , which consists of a large set of facts and ...

Last updated: Wed, 26 Nov

.......................... supports basic OLAP operations, including slice and dice, drill-down, roll-up and pivoti...

Last updated: Wed, 26 Nov

Data warehouse architecture is based on .......................

Last updated: Wed, 26 Nov

Which of the following is not a kind of data warehouse application?

Last updated: Wed, 26 Nov

Which of the following is not a component of a data warehouse?

Last updated: Wed, 26 Nov

The .................. allows the selection of the relevant information necessary for the data warehouse.

Last updated: Wed, 26 Nov

The type of relationship in star schema is ...............

Last updated: Wed, 26 Nov

The ............................ exposes the information being captured, stored, and managed by operational systems...

Last updated: Wed, 26 Nov

........................ is a good alternative to the star schema.

Last updated: Wed, 26 Nov

An .................. system is market-oriented and is used for data analysis by knowledge workers, including manag...

Last updated: Wed, 26 Nov

The data is stored, retrieved and updated in ....................

Last updated: Wed, 26 Nov

......................... is a subject-oriented, integrated, time-variant, nonvolatile collection or data in suppor...

Last updated: Wed, 26 Nov

The full form of OLAP is

Last updated: Wed, 26 Nov

The out put of KDD is .............

Last updated: Wed, 26 Nov

The full form of KDD is ..................

Last updated: Wed, 26 Nov

............................. is the process of finding a model that describes and distinguishes data classes or co...

Last updated: Wed, 26 Nov

Strategic value of data mining is ......................

Last updated: Wed, 26 Nov

............................. is a comparison of the general features of the target class data objects against the ...

Last updated: Wed, 26 Nov

............................. is a summarization of the general characteristics or features of a target class of da...

Last updated: Wed, 26 Nov

Which of the following is not a data mining functionality?

Last updated: Wed, 26 Nov

...................... is an essential process where intelligent methods are applied to extract data patterns.

Last updated: Wed, 26 Nov

Operational database is

Last updated: Wed, 26 Nov

Query tools are

Last updated: Wed, 26 Nov

Prediction is

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Multi-dimensional knowledge is

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Statistical significance is

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Inductive logic programming is

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Projection pursuit is

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Machine learning is

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Node is

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Knowledge is referred to

Last updated: Wed, 26 Nov

Learning algorithm referrers to

Last updated: Wed, 26 Nov

Naive prediction is

Last updated: Wed, 26 Nov

Learning is

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KDD (Knowledge Discovery in Databases) is referred to

Last updated: Wed, 26 Nov

Inclusion dependencies

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Inductive learning is

Last updated: Wed, 26 Nov

Information content is

Last updated: Wed, 26 Nov

Knowledge engineering is

Last updated: Wed, 26 Nov

Incremental learning referred to

Last updated: Wed, 26 Nov

Kohonen self-organizing map referred to

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Hybrid learning is

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Heuristic is

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Enumeration is referred to

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Heterogeneous databases referred to

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Enrichment is

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Hidden knowledge referred to

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Euclidean distance measure is

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Discovery is

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Hybrid is

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DNA (Deoxyribonucleic acid)

Last updated: Wed, 26 Nov

Data selection is

Last updated: Wed, 26 Nov

A definition or a concept is------------- if it classifies any examples as coming within the concept

Last updated: Wed, 26 Nov

A definition of a concept is-----if it recognizes all the instances of that concept

Last updated: Wed, 26 Nov

Black boxes are

Last updated: Wed, 26 Nov

Cluster is

Last updated: Wed, 26 Nov

Biotope are

Last updated: Wed, 26 Nov

Classification accuracy is

Last updated: Wed, 26 Nov

Binary attribute are

Last updated: Wed, 26 Nov

Classification is

Last updated: Wed, 26 Nov

Case-based learning is

Last updated: Wed, 26 Nov

Background knowledge referred to

Last updated: Wed, 26 Nov

Bias is

Last updated: Wed, 26 Nov

Algorithm is

Last updated: Wed, 26 Nov

Bayesian classifiers is

Last updated: Wed, 26 Nov

Adaptive system management is

Last updated: Wed, 26 Nov

SNA can be described as

Last updated: Wed, 26 Nov

__________ has the world's largest Hadoop cluster.

Last updated: Wed, 26 Nov

During start-up, the ___________ loads the file system state from the fsimage and the edits log file.

Last updated: Wed, 26 Nov

For YARN, the ___________ manager UI provides host and port information.

Last updated: Wed, 26 Nov

HDFS is implemented in _____________ programming language.

Last updated: Wed, 26 Nov

________ is the slave/worker node and holds the user data in the form of Data Blocks.

Last updated: Wed, 26 Nov

A ________ serves as the master and there is only one NameNode per cluster.

Last updated: Wed, 26 Nov

A definition or a concept is ______ if it classifies any examples as coming within the concept

Last updated: Wed, 26 Nov

What is association rule mining?

Last updated: Wed, 26 Nov

What will happen if support is reduced?

Last updated: Wed, 26 Nov

Which algorithm requires fewer scans of data?

Last updated: Wed, 26 Nov

Which of the following is not a frequent pattern mining algorithm?

Last updated: Wed, 26 Nov

What is the relation between a candidate and frequent itemsets?

Last updated: Wed, 26 Nov

When do you consider an association rule interesting?

Last updated: Wed, 26 Nov

What is not true about FP growth algorithms?

Last updated: Wed, 26 Nov

Which of the following is the direct application of frequent itemset mining?

Last updated: Wed, 26 Nov

How do you calculate Confidence (A -> B)?

Last updated: Wed, 26 Nov

What do you mean by support A?

Last updated: Wed, 26 Nov

What techniques can be used to improve the efficiency of apriori algorithm?

Last updated: Wed, 26 Nov

What does FP growth algorithm do?

Last updated: Wed, 26 Nov

An itemset whose support is greater than or equal to a minimum support threshold is ______

Last updated: Wed, 26 Nov

Frequency of occurrence of an itemset is called as _____

Last updated: Wed, 26 Nov

A collection of one or more items is called as _____

Last updated: Wed, 26 Nov

_______ is a top-down splitting technique based on a specified number of bins.

Last updated: Wed, 26 Nov

Normalization by ______ normalizes by moving the decimal point of values of attributes.

Last updated: Wed, 26 Nov

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.

Last updated: Wed, 26 Nov

______ partitions the objects into different groups.

Last updated: Wed, 26 Nov