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Course:
Seminar Topic:
Seminar Description:
Data mining
refers to extracting or ‘mining’ interesting knowledge from large amounts of data.
Some other terms:
knowledge mining from databases, or
knowledge extraction, or
data/pattern analysis, or
data archaeology, or
data dredging, or
Knowledge Discovery in Databases (KDD).
The Journey from 'Data' to 'Knowledge Discovery':
Architecture of a Typical Data Mining System:
Geting Down to Specifics of my Data Mining Project:
I plan to apply data mining techniques on my
airline database
that I have already developed for my 'DATABASE SYSTEMS' class. As of now, I will be using
PHP programming techniques
, like the
'pattern-matching' commands
, to do the same.
Theoretical Concepts Involved:
When it comes to mining types of data, there are 6 such types/branches of study:
Multi-dimensional Analysis and Descriptive Mining of Complex Data Objects
Mining Spatial Databases
Mining Multimedia Databases
Mining Time-Series and Sequence Data
Mining Text Databases
Mining the World Wide Web
Of the above, my project would focus on the techniques of mining
Time-Series and Sequence Data
.
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Prof. Ashay Dharwadker