Deprecated: mysql_connect(): The mysql extension is deprecated and will be removed in the future: use mysqli or PDO instead in /home/benjaminarai/ on line 339
Main :: Benjamin Arai

Benjamin Arai Graduate Student About Benjamin Arai

Main Menu

View Benjamin Arai's LinkedIn profileView my profile

Random Hobby Image
Benjamin T. Arai, Ph.D.

I am a Ph.D. graduate from the Marlan and Rosemary Bourns College of Engineering at the University of California, Riverside. I currently work for Microsoft in Washington. My research interests include top-k retrieval methods, peer-to-peer networks, sensor networks, stability/temporal clustering, and approximate query processing. This site contains a brief history of my academic (research topics, publications, projects, courses) and extracurricular activities (pictures, hobbies, community involvement) during my undergraduate and graduate career at UCR. If you have any questions, please feel free to contact me.


Pub (PVLDB 2010): An Access Cost Aware Approach for Object Retrieval over Multiple Sources

February 27th, 2010
Source and object selection and retrieval from large multi-source data sets are fundamental operations in many applications. In this paper, we initiate research on efficient source (e.g., database) and object selection algorithms on large multi-source data sets. Specifically, in order to acquire a specified number of satisfying objects with minimum cost over multiple databases, the query engine needs to determine the access overhead...
Read on... | [Download PDF]

Pub (SIGKDD 2009): On Burstiness-Aware Search for Document Sequences

December 31st, 2009
As the number and size of large timestamped collections (e.g. sequences of digitized newspapers, periodicals, blogs) increase, the problem of efficiently indexing and searching such data becomes more important. Term burstiness has been extensively researched as a mechanism to address event detection in the context of...
Read on... | [Download PDF]

Pub (VLDBJ 2009): Anytime measures for top-k algorithms on exact and fuzzy data sets

May 10th, 2009
Top-k queries on large multi-attribute data sets are fundamental operations in information retrieval and ranking applications. In this article, we initiate research on the anytime behavior of top-k algorithms on exact and fuzzy data. In particular, given specific top-k algorithms (TA and TA-Sorted) we are interested in studying their progress toward identification of the correct ...
Read on... | [Download full paper from SpringerLink]

New UCR Dissertation/Thesis Latex Template

June 8th, 2008
I have updated the close to decade old UCR (University of California, Riverside) thesis/dissertation Latex template to work with 2008 guidelines (these template updates are only the formatting changes I was required to make for acceptance by graduate division). Read on...

I am going to Microsoft!

June 8th, 2008
As of July 7, 2008, I will be working for Microsoft in Bellevue, Washington. I will be doing data mining stuff - i.e., knowledge discovery on very large datasets. I will be working in the Avanta Building, I think, which is just east of downtown Bellevue. We'll see how this cold weather thing works out...

Display All Entries