Results 271 to 280 of about 185,697 (306)

Large-Scale Mining of Co-occurrences: Challenges and Solutions

2012 Seventh International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 2012
The ability to extract frequent pairs from a set of baskets (or frequent word co-occurrences from a set of documents) is one of the fundamental building blocks of data mining. When the number of items in a given basket is relatively small the problem is trivial. Even when dealing with millions of baskets it is still trivial providing that the number of
Ian Sandler, Alex Thomo
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Anomaly Subgraph Mining in Large-Scale Social Networks

2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), 2019
Anomaly detection is a relevant research field in online social networks (OSNs), which detects the abnormal individuals and activities to protect other regular activities of the whole network. Current detection approaches can be divided into two types: structure-based automatic detection and experience-based manual detection.
Shengnan Chen, Jianmin Qian, Haopeng Chen, Si Liu   +3 more
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The Integrated Delivery of Large-Scale Data Mining: The ACSys Data Mining Project

2002
Data Mining draws on many technologies to deliver novel and actionable discoveries from very large collections of data. The Australian Government’s Cooperative Research Centre for Advanced Computational Systems (ACSys) is a link between industry and research focusing on the deployment of high performance computers for data mining.
Graham J. Williams, Irfan Altas, Sergey Bakin, Peter Christen, Markus Hegland, Alonso Marquez, Peter Milne, Rajehndra Nagappan, Stephen G. Roberts   +8 more
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Large Scale Graph Mining with MapReduce

2011
In this chapter, the authors present state of the art work on large scale graph mining using MapReduce. They survey research work on an important graph mining problem, estimating the diameter of a graph and the eccentricities/radii of its vertices. Thanks to the algorithm they present in the following, the authors are able to mine graphs with billions ...
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Data mining and forecasting in large-scale telecommunication networks

IEEE Expert, 1996
Large-scale telecommunication networks process millions of transactions daily. The authors present an approach for warehousing data about faulty networks and for mining it to find trends. Applying this approach to AT&T's worldwide network, the authors have identified several patterns, which AT&T can use to improve network reliability.
Raguram Sasisekharan, V. Seshadri, Sholom M. Weiss   +2 more
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Adaptive Topologic Optimization for Large-Scale Stream Mining

IEEE Journal of Selected Topics in Signal Processing, 2010
Real-time classification and identification of specific features in high-volume data streams are critical for a plethora of applications, including large-scale multimedia analysis, processing, and retrieval. Content of interest is filtered using a collection of binary classifiers that are deployed on distributed resource-constrained infrastructure.
Raphael Ducasse, Deepak S. Turaga, Mihaela van der Schaar   +2 more
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Large scale grouting in mining

This paper presents the concept of grouting using oilfield scale hydrofracture pumping systems to treat faulted and permeable rock masses to seal them against water movement and to consolidate them. The reasoning behind this is that such systems are readily available in many locations and offer much higher flow at high pressures over the small scale ...
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From network mining to large scale business networks

Proceedings of the 21st International Conference on World Wide Web, 2012
The vision of Large Scale Network Analysis (LSNA) states on large amounts of network data, which are produced by social media applications like Facebook, Twitter, and the competitive domain of biological networks as well as their needs for network data extraction and analysis.
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SSL for Large-Scale Mining Site Segmentation

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023
Shahriar Kabir, Nassim Ait Ali Braham
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Intelligent approach for large-scale data mining

International Journal of Computer Applications in Technology, 2020
Khaled M. Fouad, Doaa L. El-Bably
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