OLAM stands for Online Analytical Processing. This statement is (False).

OLAM engine communicates with API in the system as well as with graphical user interface. This statement is (False).

The data mining tools are required to work on integrated, consistent, and cleaned data. This statement is (True).

One importance of OLAM is the information from multiple heterogeneous sources is integrated in advance and stored in a warehouse. This is (True).

(Knowledge discovery) is the domain knowledge that used to guide the search or evaluate the interestingness of the resulting patterns.

(Data Selection) is the module of data mining system that helps the communication between users and the data mining system.

(Data Evaluation) is a data preprocessing technique that merges the data from multiple heterogeneous data sources into a coherent data store.

(Data cleaning) is a technique that is applied to remove the noisy data and correct the inconsistencies in data.

(Data transformation) is the process where data relevant to the analysis task are retrieved from the database.

(Evaluation analysis) refers to forming group of objects that are very similar to each other but are highly different from the objects in other clusters.

(Data evaluation) refers to data is transformed or consolidatedinto forms appropriate for mining, by performing summary or aggregation operations.

Knowledge Discovery process that is the representation of knowledge mined is (Data Presentation).

Data mining cannot be classified based on the Databases Mined. This statement is (False).

We can classify a data mining system according to the applications adapted. This statement is not (False).

(Loose Coupling) is a data mining integration scheme which the data mining system does not utilize any of the database or data warehouse functions.

(Semi-tigh coupling) is a data mining integration scheme which the data mining system is linked with a database or a data warehouse system and few data mining primitives can be provided in the database.

(Semi-tight coupling) is a data mining integration scheme which the data mining system is smoothly integrated into the database or data warehouse system.

One of the challenges in mining the World Wide Web is the complexity of Web Pages and it is huge. This statement is not (True).

(Diversity of user communities) is one challenge in Web mining which is the web pages do not have unifying structure. They are very complex as compared to traditional text document.

The basic structure of the web page is based on the (Document Object Model) which structure refers to a tree like structure.

The (Document Object Model) extract the semantic structure of a web page based on its visual presentation.

The value assigned to each node in Vision-based page segmentation is called (Document Object Model).

Data mining can be applied to (retail industry) which can be used to Loan payment prediction and customer credit policy analysis.

(Biological Data Analysis) refers to any kind of action that threatens integrity, confidentiality, or the availability of network resources. Data Mining can be applied to it.

In choosing data mining system, you need to consider (system issues), we should check what exact format the data mining system can handle.

Consider the (Data sources) in choosing data mining system, because we need to consider the compatibility of it with different operating systems.

In choosing data mining system, we also need to consider the integration scheme like loose coupling, tight coupling, etc. This statement is not (False).

We do not need to consider the function and methodologies use by data mining system. This statement is not (True).