Tools and Techniques to build Smart Java Applications
In this session we will explore the Java tools, techniques and algorithms that enable us to filter, classify, relate and discover patterns in our data that might not immediately obvious. With the emergence of social networking applications a great deal of data and hidden connections that can be leveraged to build better and smarter applications.
In this session we will explore the Java tools, techniques and algorithms that enable us to filter, classify, relate and discover patterns in our data that might not immediately obvious. With the emergence of social networking applications a great deal of data and hidden connections that can be leveraged to build better and smarter applications.
The session will explore:
- Data Mining
- Text Classification
- Semantic Searching
- Weka
About Brian Sam-Bodden
Brian Sam-Bodden is a developer advocate at Redis Labs as well as an author, instructor, speaker, and hacker who has spent over twenty years crafting software systems. He holds dual bachelor’s degrees from Ohio Wesleyan University in computer science and physics. Brian is a frequent speaker at user groups and conferences nationally and abroad and is the author of “Beginning POJOs: Spring, Hibernate, JBoss and Tapestry”, co-author of the “Enterprise Java Development on a Budget: Leveraging Java Open Source Technologies” and a contributor to O'Reilly's “97 Things Every Project Manager Should Know”.
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