MoM2010: Data mining as an Saudi IT nation demand

797 views

Published on

Published in: Technology, Education
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
797
On SlideShare
0
From Embeds
0
Number of Embeds
2
Actions
Shares
0
Downloads
0
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

MoM2010: Data mining as an Saudi IT nation demand

  1. 1. Data Mining as an IT nation Demand<br />Dr SuadAlRamouni<br />
  2. 2. Data Mining Technology <br />Extracting knowledge hidden in large volumes of raw data<br /> It's finding the proverbial needle in the haystack. <br />The needle is that single piece of intelligence your business needs and the haystack is the large data warehouse you've built up over a long period of time. <br />
  3. 3.
  4. 4. Data Mining Process<br />
  5. 5. Origin of Data Mining<br />Draws ideas from machine learning, artificial intelligence, pattern recognition, statistics, and database systems.<br />Traditional techniques may be unsuitable due to volume of data, high dimensionality of data, heterogeneous distributed nature of data.<br />
  6. 6. Why Data Mining Now<br />Much of the data is never analyzed at all<br />Human analysts may take too long to discover useful information<br />There is often information “hidden” in the data that is not readily evident<br />
  7. 7. Why Mine Commercial Data<br />Lots of data is being collected and warehoused <br />–Web data -Yahoo! collects ∼10GB/hour<br />–Purchase Data ∼20M sales/day<br />–Credit Card Activity -Fraud, Security<br />Competitive Pressure is Strong <br />–Provide better services<br />–Customized services<br />–Proactive services<br />
  8. 8. Why Mine Scientific Data?<br />Data collected and stored at enormous speeds (GB/hour)<br />–Remote satellite sensors archives over 1PB Earth Science data per year <br />–Telescopes scanning /Sky survey data<br />–Gene expression data experimentation<br />–Scientific simulations generate Tbs of data in a few hours<br />Traditional techniques infeasible for raw data<br /> –Data mining automates analysis of massive data sets and in hypothesis formation <br />
  9. 9. Why Mine Educational Data<br />Nowadays, as in all fields of society, information and communication technologies had bursted in education system<br /> - to capture and compile all kind of information in a very easy way and low cost, such as administrative data of schools, high schools or universities registers, computerized students academic records, e-learning platforms activity record, computer-supported collaborative learning systems, etc. <br /> -with the purpose of obtaining a better comprehension of students learning process and their global participation on it, directed to an improvement in quality and cost-effectiveness of the education system<br />
  10. 10. So Many Application …<br />
  11. 11. Thank You …<br />

×