"Data! Data! Data! I can't make bricks without clay."
- Sherlock Holmes, in AC Doyle "The Adventure of the Copper Beeches", The Adventures of Sherlock Holmes

WELCOME!

This is the official site of the Research Group on Representation, Analysis, Visualization, and Extraction of Information (RAVEn). RAVEn is one of several research groups under the Algorithms and Complexity Laboratory of the University of the Philippines Diliman. Specific areas of interest of RAVEn include data signatures and representation, data analysis, and information visualization.

Recent News and Announcements

  • RAVEn Founder/Member Jasmine Malinao Receives Doctorate Degree                                                               RAVEn would like to congratulate founder/member Jasmine Malinao for getting her doctorate from the Institute of Computer Graphics and Algorithms in the Vienna University of Technology. Jas underwent graduate ...
    Posted Apr 9, 2017, 5:04 PM by Jan Michael Yap
  • New Undergraduate Researcher for AY 2016-2017 RAVEn welcomes Mr. MIGUEL CABILES as its new undergraduate researcher for AY 2016-2017. Mr. Cabiles will be working on text and document visualization for bioinformatics for his CS 198 ...
    Posted Sep 14, 2016, 5:14 PM by Jan Michael Yap
Showing posts 1 - 2 of 2. View more »

Recent Papers and Publications

YearTitleAuthor/sDetails
2012 Data Signature-based Time Series Traffic Analysis on Coarse-Grained NLEX Density Data Set RG Maravilla Jr., ERA Tabanda, JA Malinao, and HN Adorna Communication and Networking 266, Part 2, pp. 208-219, Springer 2012, ISBN 978-3-642-27200-4 
2012 Uncovering the Social Dynamics of Online Elections JBT Lee, G Cabunducan, R Castillo, FG Cabarle, and JA Malinao Journal of Universal Computer Science, Vol. 18, No. 4, pp. 487-506 
2012 A Quantitative Analysis-based Algorithm for Optimal Data Signature Construction of Traffic Data Sets JA Malinao, RAB Juayong, ERF Oquendo, RMU Tadlas, JBT Lee, JB Clemente, MS Gaabucayan-Napalang, JRF Regidor, and HN Adorna Journal of Information Processing, Vol. 20, No. 3, AN00116647 
2012 Proving and Implementing the Effectiveness of iDnc for Optimal 4D Data Signature based Cluster Models of NLEX Traffic Density Data Sets R Maravilla Jr, ER Tabanda, RM Tadlas, J Malinao, and H Adorna In Proceedings of the 12th Philippine Computing Science Congress (PCSC) 
2011 Characterizing Classes of Potential Outliers through Traffic Data Set Data Signature 2D nMDS Projection ERF Oquendo, JB Clemente, JA Malinao, and HN Adorna Philippine Information Technology Journal, Vol. 4, No. 1, pp. 37-42 
Showing 5 items from page Papers and Publications sorted by Year, create time. View more »