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1. UNIT-5
DATA WAREHOUSE AND
DATA MINING
SUBMITTED ON
P.PRIYADHARSHINI
I-MSC (IT)
DEPARTMENT OF CS AND IT
NADAR SARASWATHI COLLEGE OF ARTS AND SCIENCE ,THENI

2. TOPIC
• Time series
• Sequence data
• Text mining

3. WHAT IS DATAWARE HOUSING AND DATA MINING
• A data warehouse (DM) is a process For collecting and managing data From Varied source
Meaningful business insight To use Connect and analysis Business Data heterogeneous Sources.the data
warehouse core BI system Data analysis and Reporting
• A Data mining is the process of analyzing large data sets (big data) from different perspective
• And uncovering correlation and pattern to summarize into useful information

4. TIME SERIES INTRODUCTION
• The planning Future very necessary every business firm every govt.institute , every individual every
country.
• Every family also doing planning his income expenditure.
• Business doing planning of financial resources & sales for maximization profit
• Definition:
• “A time series of observation taken at specific time, usually at equal intervals”.
• “A Time series may define collection of reading to different time period of some economic or composite
variable”.

5. • Time series relation between “cause”& “effect”.
• One variable”time” independent variable & and the second” data” dependent variable.

6. IMPORTANCE OF TIME SERIES ANALYSIS:

7. COMPOUND OF TIMES SERIES

8. SECULAR TREND

9. SEASONAL VARIATION

10. CYCLICAL VARIATION:

11. IRREGULAR VARIATION:

12. TIME SERIES MODEL

13. SEQUENCE DATA BASE

19. TEXT MINING INTRODUCTION

20. DATA MINING VS TEXT MINING

21. MOTIVATION FOR TEX MINING

22. INPUT OUTPUT MODEL FOR TEXT MINING

23. STEPS FOR TEXT MINING

24. KEYWORDS TERMS IN TERMS IN TEXT MINING

25. MERIT OF TEXT MINING

26. APPLICATION OF TEXT MINING

27. DEMERIT OF TEXT MINING