Data Mining with Big data By

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Transcript Data Mining with Big data By

Data Mining with Big data
By: Pouya Otarod
Spring 2014
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
How much Data does exist?
2.5 quintillion bytes of data are created
IBM: 90 percent of the data in the world today were
produced with past two years
Forms of Data????
Big Data Examples
October 4th, 2012, the first presidential debate
Flicker and its photos
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
HACE Theorem
Heterogeneous, Autonomous, Complex, Evolving
Big data starts with large volume, heterogeneous,
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
Huge Data with heterogeneous and diverse
Autonomous sources with distributed and
decentralized control
represent huge volume of data
main characteristics of Big Data
Complex and evolving relationships
Data Mining Challenges with Big
Big Data Mining Platform
Dig Data Semantics and Application Knowledge
I. Information Sharing and Data Privacy
II. Domain and Application Knowledge
Big Data Mining Algorithm
I. Local Learning and Model Fusion for Multiple
Information Sources
II. mining from Sparse, Uncertain, and Incomplete Data
III. Mining Complex and Dynamic Data
Thanks for you attentions !