185 search results - page 13 / 37 » Local Algorithms for Finding Interesting Individuals in Larg... |
155
Voted
DAC
2010
ACM
15 years 7 months ago
2010
ACM
Online social networks are a growing internet phenomenon: they connect millions of individuals through sharing of common interests, political and religious views, careers, etc. So...
159
Voted
GECCO
2007
Springer
15 years 9 months ago
2007
Springer
We show how a random mutation hill climber that does multilevel selection utilizes transposition to escape local optima on the discrete Hierarchical-If-And-Only-If (HIFF) problem....
160
Voted
WWW
2007
ACM
16 years 4 months ago
2007
ACM
The World Wide Web (WWW) is rapidly becoming important for society as a medium for sharing data, information and services, and there is a growing interest in tools for understandi...
113
Voted
DEXAW
2009
IEEE
15 years 7 months ago
2009
IEEE
Idiopathic chronic pain disorders constitude a large, clinically important health care problem that urgently needs deeper pathophysiological insight. The understanding which brain ...
127
Voted
CMG
2001
15 years 5 months ago
2001
- The KDD (Knowledge Discovery in Databases) paradigm is a step by step process for finding interesting patterns in large amounts of data. Data mining is one step in the process. T...