Pondicherry University 2009 M.C.A -Ecommerce - Question Paper

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4- What arts the transactions that must occur for an electronic payment to occur over the intemot? (1 &.)

5, (a) Compare and contrast Passive threat; with Active threats.    (7]

Explain the following

(a)    Kerberos ataadard,

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UNIT IV

> 7. (a} What are the aeven major business requirements addressed by SET?    (7)

(b) Point out the features of the business require 1 specification and explain each in detail.    (8)

8, Explain about Pretty Good Privacy (POP) in l detail,    (15}

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9, Describe in detail about two of tbu most common publishing Byatem.    {15)

10. What is a Bpider? What are its limitation*? (15J

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M C A DEGRBE EXAMINATION, MAY 2007.

Fifth Semester

Computer Applications

E-COMMKRCB

Timo : 'rhreo hours    Mudmum : 7B ni&rki

Answer any FTVE5 questions, choosing ONE lull from each Unit,

Ail questions carry equal marks.

UNIT I

1,    (a) Briefly describe the generic framework for ENCommeFce.    (6)

(b) Explain the pre-purchase pirp&ntidi] phaaa of a huniiiftna process model from a consumer point of view,

(9)

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2,    Kxpiain about (in detail) E-commerce Consumer Applications.    (15)

UNITJI

3,    (q) Elvplain thrSB types of R-Tyktins,    (7) {b) What are four dimensions useful for handling

E-tokens? Explain briefly.    (8)

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8. (a.) Explain the nature of Market Techniques in the E-Commerce,    (7)

(it) Explain the relation beteou pricing and priority of information based products,    (6)

M.C.A. DEGREE EXAMINATION, MAY 3006. Fifth Semester Computer Applications E-COMMERCE Time ^: Three hours    Maximum - 75 marks

Answer any FIVE questions, choosing ONE full question from each Unit.

All questions carry equal marks.

UNITE

X. State the approaches available for Ecommerce application development, Explain them in detail. (15)

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2.    Describe the E-business model based on the different relationships with the transaction models, 05)

UNIT II

3,    (a) State the difference between fixed and dynamic pricing models,    (8)

(b) Explain the features of MS-market and Ariba.

(7)

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4.    (a) WhM the methods followed in traditional marketing?    (7)

(b) What are the different techniques used in marketing a product by using Internet? Explain. (8)

UNIT III

5.    Describe in detail the various steps involved in SET. (15)

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6.    Explain the various offsite payment techniques with their advantages.    (15)

UNIT IV

7.    Describe the model of electronic money.    (15)

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8.    Explain in detail how financial EDI works, (15)

UNIT V

9.    State and explain the various goals and objectives to be satisfied in setting up of a web site.    (15)

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10.    What is mobile commerce? Describe in detail the various technologies used for mobile commerce. (15)

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M.C-A- DEGREE EXAMINATION. MAY 20 10.

Fifth Semester Computer Applications DATA WAREHOUSING AND MINING Time : Throe hours    Maximum : 75 marks

Answer fait qiiefitujii Irom each Unit.

All questions carry equal marks.

UNIT!

l. What is data mining? E*p]ain how the evolution of database technology led to data mining?    (.15)

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What is data warehouse? Haw is a data warehouse different from a database? Hew are the similar?

(IS)

UNIT IT

Explain in detail the architecture uf date warehouse.    (15)

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What is metadata? Explain the role of mta dnca in different data warehousing functional area*.

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UNIT III

5.    (a) Write (short notes on data mining task

prirciiti v-ea.    (5)

(b) Discuss the issues of data mining.    (10)

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6.    Explain the Apriori Algorithm? How can the efficiency of Apriori mining algorithm measure?

05)

UMIT IV

7.    List and explain the different clustering method-

(16)

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8.    Discuss how different forms of data mining can be neod in the application.    (15)

UNIT V

9.    Explain the- data mining process of OLE DB with example,    (15)

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JO, (a) Writs about OLE DB Archiiei.tun?    49)

fb) Explain bow to create and train a data mining model,    (6)

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M-C-A, DEGREE EXAMINATION, MAY 2009.

Fifth Semester

Computer Applications

DATA WAKfSHUUSLNG AND MINING

Time : Three hours    Maximum : 76 marks

Answer FTVE questions by choosing ONE full from each Unit.

AU queBtioDB carry equal murks.

UNIT I

1,    (a) Discuss (Jie architecture of a typical mining system uf the major coapcutnU in delail.

data

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data

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data

(7)

(b.) Dtacn.be the various classifications of iltiding according to the different criteria in briefly.

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2.    (a) Explain how data warehouse differ from base in briefly,

(b) Explain the features of data warehouse.

UNIT II

3. (a) Explain how to design appropriate data warehouse Bchoma* from Ihe .logical reqairemonta nludtrl.    (3)

(b) Briefly discuss about Backup and recovery strategy of data warehouse.    (7)

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4. (a) Discus* the horizontal partitioning and vertical partitioning process id detail.    (8)

(bj Explain how to determine the appropriate aggregation *tratC-jjy in detail,    (7)

UNIT III

>. (a) Explain the importance of data mining query tangufl'ge.    (8)

(b) Write a cube baaed incremental algorithm for mining analytical cldiS COmpaHfiolU.    (.7)

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6. (a> Briefly explain the native Bayesian classification,    (8)

(b) Describe the various kinds of cofiBlr&intb with suitable example.    (J)

UNiTfV

7 s (a) Dicqei the data mining system products and research prototype,    (8)

fb) Dtiscribe the various trCnda in data mining. <T) Or

S. (a) Hiscuss thti vuinus approuebca of outlier analysis with suitable example for o&ch upproach- (0)

(bl Explain the different Ws*s& of data ic. cluster aaaJyaU.    (7)

UNITV

9.    Describe the OLEDB for DM spociOcaliunB with their operations.    (15}

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10,    DiaCuSB the DB minor in detail.    US')

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M.C.A, DEGREE EXAMINATION, NOVEMBER 200?. Fifth Semester Computer Applicalimif DATA WAREHOUSING AND MINING Time : Hree hours    Maximum j 75 mai'its

Anu*er b'lVbS question, choouing ONE full question

fro 171 each rmil..

All questions carry equal marks,

UNIT J

1.    (a) Discuas the evaluation of database technology in briefly,    (3)

(b,1 Discuss the architecture of u data warehouse in detail,    (?)

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2,    (a} Explain tho functionalities of data mining with suitable example for each,    (8)

(b) DUscuus this difference between OLTP and 0]jA?3ystem9.    f?J

UNIT f]

3. (a) Describe the various steps and guide Lines effectives id determining facts from dimensions in briefly.    (8)

(b) Explain tow to determine the appropriate database-partitioning strategy in detail,    (7}

4,    (a) Discuss the two different categories of tools to manage a data warehouse in detail.    (8)

(b) Write short notes on parallel technology, (7)

UNIT III

5,    (a) Explain the primitives for specifying a Data mining task in briefly,    (8>

(b) Explain the four major types of concept hierarchies in detail.    (7)

, (a) Write a basic algorithm for attribute-oriented induction,    (8)

(tO Explain the apriori algorithm for finding frequent item Bflta using candidate generation.    {7)

7.    (a) DeRcrLbe the various applications in Data mining.    (g)

(b> Discuss the impacts of Data mining, [7) Or

8.    (a) What ia cluster analyaia? Eicplaih    (9)

(b) Describe the categorisation of major clustering methods with suitable example Ear each method,    (7)

UNITV

9.    Describe the OLEDB for DM specification* with their operations,    (15)

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10.    Di0CUSB the DB miner in detail.    (151

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3.    <a.) Discuea Layer.

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4.    (a) Discusso fb) Discuse

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5.    (a) DiscuaB transport layer by

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6.    (_a) What ih f ft) Discuss

algorithms.

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MCA DEGREE EXAMINATION, DECEMBER 2008. Fifth Semester

Computer Applications

DATA WAREHOUSING AND MINING

(FVoro 2007 batch onwards)

Time : Three hours    Man mum ; 75 marks

Answer any FIVE question*, choosing ONE Full from cfach Uiut-

All questions tarry equal masks,

UNIT!

1,    List and dBjjciibfr the advanced database systems and applications.    (15)

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2.    (a) Describe the steps involvd in data mining, when viswed as a process of knowledge discovery? (10) |

(b) Cumpard Information processing and analytical prrmejming    (S]

3. Explain tha star-flakd Schema. How dote Fact# identify fttuo dimsnaions?

4. (a) Describe the factors performance of data warehouse.

uficting the <10)

tb) List and explain the objective measures of data tuning in d&ta wafehou*e.    tfi)

5. What ic the bed of data preprocessing? Explain in , Retail about the data preprocessing techniques, flSJ

& (a) How ' cl4$sLfication7

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Write about dab* classification process. (10) UNIT rv Cb) 1* 7, (a) Wlm( is clustering? Wtat ire tbe different requirements should be analyzed for clustering in data .mining?    (10) (b) What are th jiifftrotecft between visual data mining and data visualisation?    (5) Or 2 jyyCA <g> o 8, (a) SxpLam tbe hififarehitaJ clustering methods. ce) (b) List and explain recent trend is in data mining,    (7) 9.    Create a/id train a data mining mode) for Railway Reservation System*?    (15) Or 10.    Explain the OLE DB data mining process? {IB) M.CAIBU* 3 «  Start   Prev   1   2   3   Next   End  » Unable to read this question paper? Attachment: pondicherry-university-2009-m-c-a--3873-1.PDF pondicherry-university-2009-m-c-a--3873-2.PDF 1 2 3 4 5 ( 0 Votes ) Add comment Name (required) E-mail (required, but will not display) Notify me of follow-up comments Refresh Send Cancel JComments Earning:   Approval pending. You are here: PAPER Pondicherry University 2009 M.C.A -Ecommerce - Question Paper   Top Skip to content Copyright © 2024 HowToExam.com | Contact Us | Privacy Policy