Results 221 to 230 of about 109,287 (258)

Mining significant associations in large scale text corpora

2002 IEEE International Conference on Data Mining, 2002. Proceedings., 2003
Mining large-scale text corpora is an essential step in extracting the key themes in a corpus. We motivate a quantitative measure for significant associations through the distributions of pairs and triplets of co-occurring words. We consider the algorithmic problem of efficiently enumerating such significant associations and present pruning algorithms ...
Prabhakar Raghavan, Panayiotis Tsaparas
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Exploiting and Evaluating MapReduce for Large-Scale Graph Mining

2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2012
Graph mining is a popular technique for discovering the hidden structures or important instances in a graph, but the computational efficiency is usually a cause for concern when dealing with large-scale graphs containing billions of entities. Cloud computing is widely regarded as a feasible solution to the problem.
Hung-Che Lai, Cheng-Te Li, Yi-Chen Lo, Shou-De Lin   +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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Hierarchical visual data mining for large-scale data

Computational Statistics, 2004
The authors discuss some new techniques of visualization for large data sets (with millions of cases and hundreds of variables). They are mainly based on some previous clusterization algorithms. Scatterplots and parallel coordinate plots for clusters are described where the clusters are visualized by the mean-band method.
Matthew O. Ward, Wei Peng, Xiaoning Wang
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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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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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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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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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