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 unstructured

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????

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

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

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

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

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

Thanks for you attentions !