SIGKDD


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AcronymDefinition
SIGKDDSpecial Interest Group on Knowledge Discovery and Data Mining (Association for Computing Machinery)
References in periodicals archive ?
of the 16th ACM SIGKDD Int Conf on Knowledge discovery and data mining, Washington: ACM, pp.939-948, July 25-28, 2010.
Mining Highly Reliable Dense Subgraphs from Uncertain Graphs
In: Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining--KDD '02 (p.
Marco de medicion de la privacidad
Proc.of the 1st ACM SIGKDD Workshop on Privacy, Security, and Trust in KDD, 2007, 153-171.
Efficient Trajectory Data Privacy Protection Scheme Based on Laplace's Differential Privacy
Kim, "A streaming ensemble algorithm (SEA) for large-scale classification," in Proceedings of the 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '01), pp.
A Classifier Graph Based Recurring Concept Detection and Prediction Approach
Chikkerur et al., "Ad click prediction: a view from the trenches," in Proceedings of 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago, IL, USA, August 2013.
A New Approach for Advertising CTR Prediction Based on Deep Neural Network via Attention Mechanism
Japkowicz, "Class imbalances versus small disjuncts," ACM SIGKDD Explorations Newsletter, vol.
A Framework of Rebalancing Imbalanced Healthcare Data for Rare Events' Classification: A Case of Look-Alike Sound-Alike Mix-Up Incident Detection
Christen, "Automatic record linkage using seeded nearest neighbour and support vector machine classification," in KDD '08 Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, pp.
A Type-Based Blocking Technique for Efficient Entity Resolution over Large-Scale Data
Bauer, "Inferring land use from mobile phone activity," in Proceedings of the the ACM SIGKDD International Workshop, p.
Supervised Land Use Inference from Mobility Patterns
Han, "Bridging Collaborative Filtering and Semi-Supervised Learning," in Proceedings of the the 23rd ACM SIGKDD International Conference, pp.
Reliable Collaborative Filtering on Spatio-Temporal Privacy Data
Mining top-k high utility itemsets, in: Proceedings of the ACM SIGKDD International Conference on Knowledge Dis-covery and Data Mining, pp: 78-86.
An efficient approach for mining potential high utility itemsets from dubious database
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets, 6(1), 7-19.
Web Gunluk Dosyalarinin Analizi icin Web Kullanim Madenciliginin Uygulanmasi/ Applying Web Usage Mining for the Analysis of Web Log Files
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