1. Data Mining with Big data
By: Pouya Otarod
Spring 2014

2. What is …… ?
Data Mining
computational process of discovering patterns in large data sets
Big Data
it is the term for a collection of data sets so large and complex that it becomes difficult to process
data has exponential growth, both structured and unstructured

3. How much Data does exist?
2.5 quintillion bytes of data are created EVERY DAY
IBM: 90 percent of the data in the world today were produced with past two years
Forms of Data????

4. Big Data Examples October 4th, 2012, the first presidential debate
Flicker and its photos

5. Problem…! Data has grown tremendously
This large amount of data is beyond the of software tools to manage
Exploring the large volume of data and extracting useful information and knowledge is a challenge, and sometimes, it is almost infeasible

6. HACE Theorem Heterogeneous, Autonomous, Complex, Evolving
Big data starts with large volume, heterogeneous, autonomous sources with distributed and decentralized control, and seeks to explore complex and evolving relationships among data
These are characteristics of Big Data
This is theorem to model Big Data characteristics

8. Huge Data with heterogeneous and diverse dimensionality
represent huge volume of data
Autonomous sources with distributed and decentralized control
main characteristics of Big Data
Complex and evolving relationships

9. Data Mining Challenges with Big Data
Big Data Mining Platform
Dig Data Semantics and Application Knowledge
Information Sharing and Data Privacy
Domain and Application Knowledge
Big Data Mining Algorithm
Local Learning and Model Fusion for Multiple Information Sources
mining from Sparse, Uncertain, and Incomplete Data
Mining Complex and Dynamic Data

10. Thanks for you attentions !