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SIGMOD
2004
ACM
144views Database» more  SIGMOD 2004»
14 years 9 months ago
Diamond in the Rough: Finding Hierarchical Heavy Hitters in Multi-Dimensional Data
Data items archived in data warehouses or those that arrive online as streams typically have attributes which take values from multiple hierarchies (e.g., time and geographic loca...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...
ICIP
2010
IEEE
13 years 6 months ago
Spiral FFT: An efficient method for 3-D FFTS on spiral MRI contours
The Fast Fourier Transform (FFT) allows the Discrete Time Fourier Transform (DTFT) to be efficiently sampled on a uniform grid in frequency. In many applications, including Magnet...
Christopher K. Turnes, Justin K. Romberg
DMIN
2006
131views Data Mining» more  DMIN 2006»
13 years 10 months ago
Use of Data Mining to Determine Cheating in Online Student Assessment
are proposing a model to help organizations detect and prevent cheats in online assessments. First we analyze different student personalities, stress situations generated by onlin...
Alberto Ochoa, Amol Wagholikar
ICDE
2005
IEEE
172views Database» more  ICDE 2005»
14 years 2 months ago
Monitoring K-Nearest Neighbor Queries Over Moving Objects
Many location-based applications require constant monitoring of k-nearest neighbor (k-NN) queries over moving objects within a geographic area. Existing approaches to this problem...
Xiaohui Yu, Ken Q. Pu, Nick Koudas
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
14 years 3 months ago
ECGA vs. BOA in discovering stock market trading experts
This paper presents two evolutionary algorithms, ECGA and BOA, applied to constructing stock market trading expertise, which is built on the basis of a set of specific trading ru...
Piotr Lipinski