NOUN TMA Questions & Answers: DAM301 - Data Mining and Data Warehousing

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NOUN TMA Questions & Answers: DAM301 - Data Mining and Data Warehousing

Postby Adebisi » Thu Jun 06, 2019 7:28 am

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Q1 All the following are categories of data warhouse users except

Profile Adm instrators

Q2 Tuple can also be referred to as ............... in a relational database

Row

Q3 The natural development of the increased use of computerized databases to store data and provide answers to business analysis can be discribed as .......

Data mining

Q4 The exploitation of background knowledge, the control and handling of noise in data are all examples that would dictate mining

Methodolog y

Q5 The multi-faceted issue that represents one of the biggest challenges for data mining is referred to as

Data Quality

Q6 Basically, clustering is similar to classification but the groups are not

Predefined

Q7 A situation whereby you infer the total likely purchased goods by a particular customer based on the present goods he might have purchased can be referred to as ......... classes of data mining task

Associatio n Rule Learning

Q8 Generally, there is a proliferation of heterogeneous data sources, at structural and

Semantic leve ls

Q9 􀳦?􀳦􀳦?􀳦􀳦?􀳦􀳦?􀳦􀳦?􀳦.. Data mining tools are very good at identifying patterns or trend in data, they are very suitable for prediction or forecasting needs

Neural netwo rk

Q10 􀳦?􀳦􀳦?􀳦􀳦?􀳦􀳦?􀳦􀳦?􀳦.. is used to specify the kind of patterns to be found in data mining task

Data mining functiona lities
Q11 The data mining challenges involved in a situation whereby there is no large number of records in the database, but there can be a large number of fields can be called .......

High Dimensionality

Q12 Algorithms and medium-order polynomial complexity cannot be of practical use for .........

Data Mining

Q13 Information for users can be extracted from the output of analytical services such as data mining or

OLAP

Q14 When processing large data, two qualities that are required for data mining methods are

Scalability and Efficiency

Q15 Which of the following set of classification Algorithm can be used for classifying of set of message received on internet as wanted or unwanted messages The common type of Algorithm basically used for classification

Classificati on

Q16 The process of removing noise data and irrelevant data from the collection is called .........

Data Cleaning

Q17 The stage at which the data relevant to the analysis is decided upon and retrieved from the data collection is called ........

Data Selection

Q18 The methods for dealing with large data volume include more efficient algorithms, sampling, and

Approximation

Q19 Data mining techniques should be able to handle incomplete information or noise in

Data

Q20 Sampling can be employed in mining rather than using the entire

Dataset






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Adebisi
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Re: NOUN TMA Questions & Answers: DAM301 - Data Mining and Data Warehousing

Postby Adebisi » Thu Jun 06, 2019 7:30 am

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Q21 Which of the following data mining algorithm is more versatile

algorithm that uses relational databases

Q22 The class categorizes data mining systems according to the data analysis approach used is known as
........

Classification By The Mining Techniques Us ed

Q23 Attribute can also be referred to as ............... in a relational database system

Column

Q24 which of the following is not a common algorithm used in classification class of data mining task

Naives neighbor

Q25 Attribute can also be referred to as ............... in a relational database system

Column

Q26 which of the following is not a common algorithm used in classification class of data mining task

Naives neighbor

Q27 􀳦?􀳦􀳦?􀳦􀳦?􀳦􀳦?􀳦􀳦?􀳦. is the discovery of association rules

Association Ana lysis

Q28 The data mining issues affecting the implementation of data mining are the following except ..........

People issues

Q29 􀳦?􀳦􀳦?􀳦􀳦?􀳦􀳦?􀳦􀳦?􀳦. refers to the accuracy and completeness of a data

Data quality

Q30 Data mining tasks can be grouped into the following major classes except .........

discovery

Q31 In Back-propagation neural network the error in the output is complied as ..............

(calculated output - desired output)

Q32 􀳦?􀳦􀳦?􀳦􀳦?􀳦􀳦?􀳦... is the approach to computing that involves developing mathematical structures with the ability to learn in data mining technology

Neural networks

Q33 For any given problem at any point in time ...... will affect the choice of models and algorithm you decide to choose in mining the data

The nature of data

Q34 􀳦?􀳦􀳦?􀳦􀳦?􀳦􀳦?􀳦.. is basically the comparison of the general features of objects between two classes referred to as the target class and the contrasting class

Discrimination

Q35 A good number of datasets contain exceptions, invalid or incomplete

Information

Q36 One of the highest risks of data mining as cited by civil libertarians is

Mission Creep

Q37 􀳦?􀳦􀳦?􀳦􀳦?􀳦􀳦?􀳦􀳦?􀳦. refers to the accuracy and completeness of a data

Data quality

Q38 The process of visual representation of the of discovered knowledge for the better understanding of the user is called ........

Knowledge Represe ntation

Q39 A repository is a location or set of locations where the following except ...... keep the documentation associated with one or more systems or projects.

system user

Q40 The following except ......... are the types of information collected

DSTV Sensing



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Re: NOUN TMA Questions & Answers: DAM301 - Data Mining and Data Warehousing

Postby Adebisi » Thu Jun 06, 2019 7:32 am

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Q41 The data mining issues affecting the implementation of data mining are the following except ..........

People issues

Q42 Most algorithms used in data mining assume the data to be􀳦?􀳦􀳦?􀳦􀳦?􀳦..

Noise-fre e

Q43 Generally, data mining projects should take advantage of existing legacy􀳦?􀳦􀳦?􀳦􀳦?􀳦.

Databases

Q44 As agencies advance with the creation of new databases and information sharing efforts, they will need to address issues of􀳦?􀳦􀳦?􀳦􀳦?􀳦

Interoperabil ity

Q45 The exploitation of background knowledge, the control and handling of noise in data are all examples that would dictate mining􀳦?􀳦􀳦?􀳦􀳦?􀳦..

Methodolog y

Q46 The multi-faceted issue that represents one of the biggest challenges for data mining is referred to as􀳦?􀳦􀳦?􀳦􀳦?􀳦.

Data Quality

Q47 Algorithms and medium-order polynomial complexity cannot be of practical use for􀳦?􀳦􀳦?􀳦􀳦?

Data Mining

Q48 Data mining tasks can be grouped into the following major classes except .........

discovery

Q49 In Back-propagation neural network the error in the output is complied as ..............

(calculated output - desired output)

Q50 One of the highest risks of data mining as cited by civil libertarians is􀳦?􀳦􀳦?􀳦􀳦?􀳦

Mission Creep

Q51 The type of data normalization method that transforms the data into a range between -1 and 1 can be called􀳦?􀳦􀳦?􀳦􀳦?􀳦.

Decimal Scaling

Q52 A lot of artificial intelligence and statistical methods exist for .............

Data Analysis

Q53 The process of extracting information from the given data set is known as..........

Data mining

Q54 The idea of searching for useful patterns in data has a variety of names as follow except ......

Program extr action

Q55 Algorithms and medium-order polynomial complexity cannot be of practical use for .........

Data Mining

Q56 Normally, a good data visualization facilitates the interpretation of data mining

Results

Q57 The data warehouse system is more likely to be interfaced with other􀳦?􀳦􀳦?􀳦􀳦?􀳦

Applic ations

Q58 The methods for dealing with large data volume include more efficient algorithms, sampling, and 􀳦?

Approxima tion

Q59 􀳦?􀳦􀳦?􀳦􀳦?􀳦􀳦?􀳦􀳦?􀳦... is none of the class categorizes data mining systems according to the data analysis approach used

Table

Q60 􀳦?􀳦􀳦?􀳦􀳦?􀳦􀳦?􀳦􀳦?􀳦... is none of the class categorizes data mining systems according to the data analysis approach used

networks


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Adebisi
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Re: NOUN TMA Questions & Answers: DAM301 - Data Mining and Data Warehousing

Postby Adebisi » Thu Jun 06, 2019 7:34 am

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Q61 KDD consists of 􀳦?􀳦􀳦?􀳦. steps

seven

Q62 Which of the following steps of KDD cannot be combined?

data cleaning and data selection

Q63 Combination of 􀳦?􀳦􀳦?􀳦. and 􀳦?􀳦􀳦?􀳦.. Results in data warehouse

data selection and data transformation

Q64 The World Wide Web comprises of 􀳦?􀳦􀳦?􀳦.. major components

three

Q65 􀳦?􀳦􀳦?􀳦􀳦?􀳦.. techniques are often applied to interactive exploratory data analysis and automated report generation

summarisatio n

Q66 􀳦?􀳦􀳦?􀳦􀳦?􀳦.. produces characteristics rules

summarisatio n

Q67 􀳦?􀳦􀳦?􀳦􀳦?􀳦 involves methods for finding a compact description for a subject of data or target class

summarisa tion

Q68 Clustering is similar to 􀳦?􀳦􀳦?􀳦..

classification

Q69 􀳦?􀳦􀳦?􀳦. is another name for data characterisation

summarisation

Q70 Which of the following is not a part of data mining in World Wide Web?

mining time

Q71 Which of the following is not a component of World Wide Web?

content of the web
structure of the web
relationships betwee n documents and the usage of the web
***None of the Options

Q72 􀳦?􀳦􀳦?􀳦. is the most heterogeneous and dynamic repository available.

World Wide Web

Q73 Which of the following is not a type of databases?

spatial databases
relational databas es
multimedia database s
***None of the Options

Q74 􀳦?􀳦􀳦?􀳦.. are the commonest data source for data mining algorithms.

flat files

Q75 Which fo the following is not part of the types of information we collect daily?

scientific
personal
games
***None o f the Options

Q76 Which of the following statements is false?

all data mining tools presently operate outside of the ware house

Q77 Which of these is part of the capabilities provided by data mining technology?

Automated Prediction of Trends and Behaviours
Automated Discovery of Previously Unknown P atterns
***All of the options
None of the Optio ns

Q78 Which of the following statements is not true of OLAP?

it is the same as data mini ng

Q79 Data mining and 􀳦?􀳦􀳦?􀳦. are frequently treated as synonyms

knowledge discovery in databases

Q80 Which of the following statements is not true of data mining?

an analytical process designed for extracting or exploring hidden a nd predictive information from large databases
the pr ocess of searching for valuable information in large volumes of data
a cooperative effort of humans and computers
***None of the Options



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