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KDD
2008
ACM
164views Data Mining» more  KDD 2008»
16 years 2 months ago
Microscopic evolution of social networks
We present a detailed study of network evolution by analyzing four large online social networks with full temporal information about node and edge arrivals. For the first time at ...
Jure Leskovec, Lars Backstrom, Ravi Kumar, Andrew ...
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
16 years 2 months ago
Relational data pre-processing techniques for improved securities fraud detection
Commercial datasets are often large, relational, and dynamic. They contain many records of people, places, things, events and their interactions over time. Such datasets are rarel...
Andrew Fast, Lisa Friedland, Marc Maier, Brian Tay...
GECCO
2004
Springer
106views Optimization» more  GECCO 2004»
15 years 7 months ago
Evolving En-Route Caching Strategies for the Internet
Nowadays, large distributed databases are commonplace. Client applications increasingly rely on accessing objects from multiple remote hosts. The Internet itself is a huge network ...
Jürgen Branke, Pablo Funes, Frederik Thiele
CCS
2010
ACM
15 years 5 months ago
Scene tagging: image-based CAPTCHA using image composition and object relationships
In this paper, we propose a new form of image-based CAPTCHA we term "scene tagging". It tests the ability to recognize a relationship between multiple objects in an imag...
Peter Matthews, Cliff Changchun Zou
SIGMOD
1999
ACM
183views Database» more  SIGMOD 1999»
15 years 6 months ago
OPTICS: Ordering Points To Identify the Clustering Structure
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...
Mihael Ankerst, Markus M. Breunig, Hans-Peter Krie...