1. Data warehouse example
User
Warehouse
Data Warehouse
DBMS A
DBMS B
DBMS C
Database
Database
Database
Data warehouse example

2. Data mining versus data warehousing
User
Data
Mining Tools
Warehouse
Data Warehouse
Manager
DBMS C
DBMS A
DBMS B
Database
Database
Database
Data mining versus data warehousing

3. Database systems, data warehousing, and mining
Miner
Warehouse Data
for Mining
Database
Data
for Mining
Data
Warehouse
Data for Warehousing
Database Management
Systems
Database systems, data warehousing, and mining

4. Integrated Data Warehouse and Data Miner
User
Warehouse
Warehouse Miner:
Integrated Data Warehouse
and Data Miner
DBMS B
DBMS C
DBMS A
Database
Database
Database
Integrated data warehousing and data mining

5. Data mining versus data warehousing
User
Data
Mining Tools
Warehouse
Data Warehouse
Manager
DBMS A
DBMS B
DBMS C
Database
Database
Database
Data mining versus data warehousing

6. Database systems, data warehousing, and mining
Miner
Warehouse Data
For Mining
Database Data
For Mining
Data
Warehouse
Data for
Warehousing
Database Management
Systems
Database systems, data warehousing, and mining

7. Integrated Data Warehouse And Data Miner Warehouse
User
Warehouse Miner,
Integrated Data Warehouse
And Data Miner
Warehouse
DBMS A
DBMS B
DBMS C
Database
Database
Database
Integrated data warehousing and data mining

8. Statistical packages operating on databases
Reasoning
Warehouse Data
For Mining
Data
Warehouse
Database Data
For Mining
Data for
Warehousing
Database Management
Systems
Statistical packages operating on databases

9. Loose integration between a DBMS and a data miner
Data Mining Tool
Database
Database Management
System
Loose integration between a DBMS and a data miner

10. Tight integration between a DBMS and a data miner
Database Management
System+
Data Mining Tool
Database
Tight integration between a DBMS and a data miner

11. Mining object databases
Relational Database
Relation
Extractor
Object Database
Data Miner
Patterns
Mining object databases

12. Mining an audit database
Tools
Audit
Database
Mining an audit database

13. Database and visualization
Tool
Data To
Visualize
Request
Data
Database Management
Systems
Database and visualization

14. Functions of a mining DBMS
Query
Processor
Transaction
Processor
Metadata
Manager
Storage
Manager
Mining
DBMS
Integrity
Manager
Security
Manager
Data Miner
Functions of a mining DBMS

15. Data mining as part of query processing
Query Data
Processor Miner
Metadata
Manager
Storage
Manager
Mining
DBMS
Integrity
Manager
Security
Manager
Data mining as part of query processing

16. Decision support technologies
Warehousing
Data
Management
Machine
Learning
Mining
Human
Computer
Interaction
Knowledge
Management
Statistics
Decision support technologies

17. Decision support and multimedia data mining
Results from Mining
Decision Support
System
Data
Miner
Warehouse Data
For Mining
Database Data
For Mining
Data
Warehouse
Data for
Warehousing
Database Management
System
Decision support and multimedia data mining

18. Machine learning and data mining
Warehouse Data
For Mining
Data
Warehouse
Database Data
For Mining
Data for
Warehousing
Database Management
Systems
Machine learning and data mining

19. Pyramid for multimedia mining
Decision
Support
Multimedia Data Miner
Multimedia Data Warehouse
Multimedia Database System
Multimedia Communication, Network,
Operating System
Pyramid for multimedia mining

20. Revisiting the data mining architecture
Database
System B
Database
System A
Middleware
Data
Warehouse
Multimedia
Data Miner
Revisiting the data mining architecture

21. Distributed, Heterogenous, and Legacy Databases
Relational
and Object Databases
Multimedia Databases
Distributed, Heterogenous, and
Legacy Databases
Techniques
Warehouse
Machine Learning
Statistical Reasoning
Security
Metadata
Visualization
Parallel Processing
Integration:
Middleware, Web
Support
Three-dimensional view

22. Client-server-based data mining
Database
System
Client 1
Client 2
Network
Server
Warehouse
Server
Data Miner
Client-server-based data mining

23. Data mining through an ORB
Server
Database
System
Client
Object
Object
Object Request Broker
Server
Data
Miner
Object
Server
Data
Warehouse
Object
Data mining through an ORB

24. Book
Object
References
Introduction
Set of Sections
Data model for text

25. Functional Architecture for a text processing system
Query
Processor
Browser/
Editor
Metadata Manager
Update
Processor
Security/
Integrity
Manager
Functional Architecture for a text processing system

26. Converting unstructured data to structured data for mining
Data Mining
Tool
Structured
Data
Unstructured Data
Converting unstructured data to structured data for mining

27. Operation of data mining techniques
Determine Data
Sets
Develop
Training
Examples
Build Models
Classify New
Data based on
the Models and
Examples
Identify Patterns
Operation of data mining techniques

28. Augmenting an information retrieval system
Data Mining
Tool
Information
Retrieval
System
Data
Source
Augmenting an information retrieval system

29. Mining directly on unstructured data
Data Mining
Tool
Unstructured
Data
Mining directly on unstructured data

30. TrueText Mining System
Extracting Structured Data from
Text
Text Retrieval with Simple
Mining
Intelligent Text Retrieval
Text Understanding System
Text Retrieval System
Taxonomy for text mining

31. Image
Object
Right Part of
Image
Left Part of
Image
Center Part of
Image
Data model for an image

32. Functional architecture for an image processing system
Query
Processor
Browser/
Editor
Metadata Manager
Security/
Integrity
Manager
Update
Processor
Functional architecture for an image processing system

33. Unusual Pattern
IMAGE MINING

34. True Image Mining System
Extracting Structured Data from Images
Image Retrieval with Simple Mining
Intelligent Image Retrieval
Image Understanding System
Image Retrieval System
Taxonomy for image mining

35. Video
Object
Future
Attractions
Advertisements
Main Film
Data model for video

36. Functional architecture for a video processing system
Query
Processor
Browser/
Editor
Metadata Manager
Security/
Integrity
Manager
Update
Processor
Functional architecture for a video processing system

37. Mining text extracted from video
Video Frames
Summary Reports
Patterns
and
Results
Text Miner
Mining text extracted from video

38. Video Scripts/Patterns
As Metadata
Video Database
Video
Mining
Video Information
Retrieval
Patterns and
Trends
Direct video mining

39. True Text Mining System
Extracting Structured Data from
Text
Text Retrieval with Simple
Mining
Intelligent Text Retrieval
Schema
Text Understanding System
Text Retrieval System
Taxonomy for video mining

40. Audio
Object
Questions
Speech
Applause
Data model for audio

41. Functional architecture for an audio processing system
Query
Processor
Browser/
Editor
Metadata Manager
Security/
Integrity
Manager
Update
Processor
Functional architecture for an audio processing system

42. Mining text extracted from audio
Audio Frames
Speech
Transcription:
Text Data
Patterns
And
Results
Text Miner
Mining text extracted from audio

43. Audio Scripts/Patterns
as Metadata
Audio/Speech
Processing System
Audio Mining
Audio
Database
Patterns and Trends
Direct audio mining

44. True Audio Mining System
Extracting Structured Data from Audio
Audio Retrieval with Simple Mining
Intelligent Audio Retrieval
Audio Understanding System
Audio Retrieval System
Taxonomy for audio mining

45. Integration and then mining
Multimedia Data Miner
Integrated View of Multimedia Database
DMP
DMP
DMP
Text DBMS
Video DBMS
Audio DBMS
Text Database
Video Database
Audio Database
Integration and then mining

46. Integrating the results of various data miners
DMP
DMP
DMP
Video Miner
Audio Miner
Text Miner
Video DBMS
Audio DBMS
Text DBMS
Text Database
Video Database
Audio Database
Integrating the results of various data miners

47. Data mining through the Web
Mining Tool C
Mining Tool D
Internet Access
Module for C
Internet Access
Module for D
INTERNET
Internet Access
Module for A
Internet Access
Module for B
DBMS
Vendor B
DBMS
Vendor A
Database A
Database B
Data mining through the Web

48. Different definitions of data mining
Pattern
Discovery
Knowledge
Discovery
Knowledge
Mining
Data Mining
Data
Dredging
Data
Archeology
The process of discovering meaningful new correlations,
Patterns, and trends by sifting through large amounts of
stored data, using pattern recognition technologies and
Statistical and mathematical techniques.
Different definitions of data mining

49. Data Mining
Techniques
Approaches to
Data Mining
Outcomes
Of Data Mining
How
Data Mining
is carried out
Aspects of data mining

50. Mining
Distributed,
Heterogeneous, and
Legacy Databases
Web Mining
Multimedia
Mining
Data
Mining
Trends
Metadata
Mining
Security and
Privacy
Data mining trends

51. Data quality and data mining
Database
Patterns and
Trends
Data Miner
To Detect
Patterns
Data Miner
To Improve
Quality
Database
Data quality and data mining

52. Interactive data mining
Visualization
Tool
Data Mining
Tool
DBMS
Interactive data mining

53. Data
Mining
Algorithms
Parallelized
Data Mining
Algorithms
Parallel
Processing
Techniques
Parallel data mining

54. Training
Examples
Analyzing
Data
Producing
Results
Data mining functions

55. Three-tier architecture for data miner
Thin Client
Middle Tier:
Data Mining Components
Server DBMS
Three-tier architecture for data miner

56. Encapsulating data mining modules as objects
Data Miner
Data Source
Integrator
Object
Object
Object Request Broker
Results Pruner
Object
Report
Generator
Object
Encapsulating data mining modules as objects

57. Some data mining application areas
Inland
Revenue
Service:
Analyze Tax
Returns
Retail/
Wholesale:
Marketing
And Sales
Medical:
Diagnosis
Data Mining
Education:
Student
Promotion
Financial:
Economic
Analysis
Intelligence:
Foreign Affairs
Analysis
Some data mining application areas

58. Data, data and more data
Relational
Databases
Files
Multimedia
Databases
Paper
Humans
World
Wide
Web
What we do with the data?
Mine, mine, and mine
Until we get useful information.
Why data mining?

59. Mine
The Data
Clean/
Modify
Data
Sources
Integrate
Data
Sources
Examine
Results/
Prune
Results
Report
Final
Results
Data
Sources
Steps of mining data

60. Real-World
Knowledge
Knowledge
Base
Knowledge-Based
System and/or
Human Analyst
for Pruning
Results
Results from
Data Miner
Pruned Results
Pruning the results

61. Some data mining challenges
Inadequate
Tools
Bad Quality
Data
Data Mining
Challenges
Incomplete and
Incorrect Data
Inadequate
Training
Some data mining challenges

62. Example user interface for mining
Application
Generator
SQL Query
Generator
Report
Generator
Select
Approaches
Select
Outcomes
Select
Techniques
Example user interface for mining

63. Data mining tasks, techniques, and methodologies
Data Mining Methodologies(Approaches):
Top-Down
Bottom-Up(Supervised or Unsupervised)
Hybrid
Data Mining Techniques(Algorithms):
Neural Networks
Inductive Logic Programming
Decision Trees, Nearest Neighbour
Data Mining Tasks (Outcomes):
Classification, Clustering,
Association, Deviation Detection
Data mining tasks, techniques, and methodologies

64. Determine
Initial Set of
Expected
Outcomes
Carry Out
Data Mining
Techniques
Extract
Patterns
Determine
New
Outcomes
from the
Patterns
Observed
Data mining outcomes

65. Some data mining approaches
Top-Down:
Start with hypothesis and validate hypothesis,Hypothesis may be formed, initially from bottom-up approach or from some real-world knowledge,
If hypothesis is not satisfied,
then revise hypothesis
Data Mining
Approaches/
Methodologies
Bottom-up: Analyze the data and
extract patterns,Directed/
Supervised: You have
some idea what you are looking
for, Undirected/Unsupervised,
You have no idea what you are
looking for
Some data mining approaches

66. Data mining technologies
Decision
Support
Database
Management
and
Warehousing
Statistics
Data
Mining
Machine
Learning
Parallel
Processing
Visualization
Data mining technologies