Where results make sense

About us   |   Why use us?   |   Reviews   |   PR   |   Contact us

Topic: Talk:Data mining

    Note: these results are not from the primary (high quality) database.

Ads by Google

In the News (Wed 23 Dec 09)

Northern Trust

Marvin Harrison

Peter Chernin

Gary Locke

Match Play

Penelope Cruz

Mickey Rourke

AR Rahman

Danny Boyle

Hugh Jackman

Home 10:45 Invited talk: Advances in Relational Data Mining, Nada Lavrac Multi-Relational Data Mining (MRDM) is the multi-disciplinary field dealing with knowledge discovery from relational databases consisting of multiple tables. The field aims at integrating results from existing fields such as ILP, KDD, ML and Relational Databases, as well as at producing new techniques. mrdm.dantec.nl

Blueprint for Success - CIO Magazine March 15, 1997 Data modeling tools from vendors such as Logic Works Inc., Powersoft brand from Sybase Inc., and IBM Corp. facilitate the construction of an enterprise's data structure by creating optimal data structures, but they are useful only to a point. HR was too busy to devote much time to helping IS, so instead of explaining the process in detail and gathering everybody together for a group brain-dump, the IS team split up and went directly to users' work places to talk with them in small groups. That makes updating the data more difficult because the same piece of data is stored in several places, which may work for data warehouses that are primarily used for queries and rarely updated. www.cio.com /archive/031597/mode.html?printversion=yes   (2910 words)

Mark Bernstein: May0301 Many people like to play down the role of craft in weblogs, and it's almost heresy to talk about craft in the digital storytelling world, where being "natural" is prized above all. Swartz's idea is to read the XML file and make it all available in a data structure, with a nice syntax for getting at parts of it. But everyone was busy, and eager to get back to work and get their ideas down, and nobody was much worried about whether they had a job, or might lose one, or if their funding would be cut. markbernstein.org /May0301.html   (8087 words)

ORBEL / DMOR05 - Interface between Data Mining and Operations Research one-day symposium The use of data mining techniques in bioinformatics is continuously confronted with the problem of managing datasets where the number of features is much larger than the number of samples (high feature-to-sample ratio datasets). Constraint based mining and inductive databases are a recent research stream within data mining. In recent years, mining frequent itemsets has been one of the most active research areas in data mining. www.fusl.ac.be /orbel/workshops/dmor05   (8087 words)

Kant's Philosophical Development Although Kant's conjecture is false (quakes are usually due to plate tectonics), it is methodologically beyond reproach, employing known data (mining explosions) to formulate a testable hypothesis. In the absence of data, this effect is conjectural. The energy field (force stretched out as space) returns there as well, as the only exception to Kant's critical rule not to talk about the intelligible features of mind-independent nature. plato.stanford.edu /entries/kant-development   (8087 words)

PDDM 2001 Invited Talk: Ubiquitous Mining of Distributed Data, Hillol Kargupta, University of Maryland Baltimore County As the volume of data increases, it is clear that both parallel and distributed data mining techniques are required to make the whole knowledge discovery process scalable and interactive. This workshop will target papers on high performance parallel and distributed methods, as well as mining on distributed and heterogeneous datasets. www.cs.rpi.edu /~zaki/PDDM01   (8087 words)

Home Page of Haixun Wang Incompleteness of Database Languages for Data Streams and Data Mining, by Carlo Zaniolo, Chang R. Luo, Yan N. Law, and Haixun Wang, Invited talk for 11th Italian Symposium on Advanced Database Systems (SEBD), Cetraro, Italy, June 24-27, 2003. The S2-Tree: An Index Structure for Subsequence Matching of Spatial Objects, by Haixun Wang and Charles Perng, in the 5th Pacific-Asic Conference on Knowledge Discovery and Data Mining (PAKDD), Hong Kong, Apr., 2001. Toward Extensible Spatio-Temporal Databases: an approach based on User-Defined Aggregates, by Cindy Chen, Haixun Wang, and Carlo Zaniolo, in "Flexible querying and reasoning in spatio-temporal databases: theory and applications", Springer Geosciences/Geoinformation series, 2004. magna.cs.ucla.edu /~hxwang/pub.html   (8087 words)

SLIS IUB > News > Sept. 24 Colloquium: Social Network and Semantic Web This talk will be of interest to colleagues in library and information science, informatics, computer science, and the social sciences who study the design and technologies of the semantic web, social networks, visualization, data mining, and the ethics of collecting data on social relations. The Friend-of-a-Friend (FOAF) project was begun in 1999 to explore the application of semantic web technologies (RDF/XML) to people's personal details, such as their interests, occupations and personal affiliations, with the aim of facilitating social network data-mining. These relations are analyzed statistically to identify a set of natural social groups described by the data. www.slis.indiana.edu /news/story.php?story_id=857   (381 words)

Senate Cuts Surveillance Funds > TIA Goes MIA: Senate Defense Bill Cuts Surveillance Funds > July 18, 2003 The program has been in trouble at least since January as the senate passed the Data Mining Moratorium Act of 2003, essentially shutting down all DOD and Homeland Security data mining activities "similar related to the Total Information Awareness program." The $369 billion Department of Defense (DOD) budget the Senate unanimously approved Thursday included no funding for the data mining initiative, which had been a lightning rod for civil libertarian and privacy advocate ire since its existence was made public last year. Born as the Total Information Awareness project at the Pentagon's Defense Advanced Research Projects Agency (DARPA), TIA always struck some observers as more talk than technology. www.techweb.com /wire/story/TWB20030718S0004   (752 words)

GSN Magazine Shaffer also told GSN that the ultimate goal that he and his Able Danger colleagues are pursuing is the re-establishment of a similar data mining capability, in a newly-formed program the military is calling Able Providence. Much of this data crunching was facilitated by private contractors, including Raytheon Company, of Waltham, MA, and Orion Scientific (now part of SRA International, Inc., based in Fairfax, VA) which helped execute the sophisticated data mining software packages, said Shaffer. Just out of curiosity, why was Congressman Weldon willing to talk first with GSN about Able Danger? www.gsnmagazine.com /sep_05/shaffer_interview.html   (10332 words)

Mat Stephen's SQL Server WebLog : Microsoft SQL Server 2005 Analysis Services – Unified Dimensional Model (UDM). Can you get your head round it? If you do BI, you’ll need to! UDM has five new dimension types, Role Playing, Fact, Reference, Data Mining and Many to many. Whilst a UDM can gather data from numerous data sources, the need to cleanse data still requires a data warehouse. I have read and re-read articles that talk about the UDM, some internal, some public, and I’m still trying to get my head all the way round it. blogs.technet.com /mat_stephen/archive/2005/03/10/391943.aspx   (914 words)

KDnuggets News 01:17, item 11, Software In addition, in the talk "Data mining with sparse grids using simplicial basis functions" by Jochen Garcke of the University of Bonn at the KDD (Research Track 5: Classification and Regression) the sparse grid classification method is described. The method is implemented in the prudsys DISCOVERER 2000, a universal data mining tool developed by prudsys that will be presented at the KDD 2001. Sparse grids where developed in the 90ies and are used for solving high-dimensional partial differential equations. www.kdnuggets.com /news/2001/n17/11i.html   (228 words)

Invited talk abstract The scale of the data sets generated by this work has necessitated the pioneering of new informatics systems for process control, data validation and data mining. In this study the creation of genetic diversity on a genome scale in Arabdiopsis is coupled to broad-based, high throughput metabolic profiling. Metanomics has used systematic overexpression and knockout approaches to create large populations of Arabidopsis mutants altered in the activity of individual genes. metabolomics-2003.mpg.de /abstracts/i8.html   (228 words)

[arrangementer] Top Datamining Talk on Wednesday 9/2 - 11:15 at lille UP1, Datalogisk Institut by Professor Joydeep Ghosh Distributed Clustering with Limited Knowledge Sharing Joydeep Ghosh Department of Electrical and Computer Engineering, The University of Texas at Austin While data mining algorithms invariably operate on centralized data, in practice related information is often acquired and stored at geographically distributed locations due to organizational or operational constraints. Centralization of such data before analysis may not be desirable because of computational or bandwidth costs. Time permitting, I'll outline the equivalence of rate distortion theory and maximum likelihood estimation, and show how the information bottleneck method readily falls out as a special case of rate distortion tradeoff for Bregman divergences. www.diku.dk /web-tjenester/mailman/arrangementer/2005-February/000366.html   (539 words)

Jan. 8, 2004 In this talk, we propose to use the randomized response techniques to conduct the data mining computation. Specially, we present a method to build naive Bayesian classifiers from the disguised data. We conduct experiments to compare the accuracy of our classifier with the one built from the original undisguised data. www.tamale.uottawa.ca /winter2004/080104.html   (96 words)

Practical Multidimensional Databases - training At last, a concise and understandable course to learn about multidimensional databases and OLAP without all of the theoretical jargon and double-talk. This course is indispensable for anyone faced with the challenge of using a multidimensional database for data warehousing, data mining, or Online Analytical Processing (OLAP). It is indispensable for database professionals who want to objectively explore how to leverage their investment in this exciting new technology. www.dba-oracle.com /cou_mdb_class.htm   (560 words)

Computational Learning Seminar Within the research fields of Machine Learning and Data Mining the development of intelligent and adaptive methods have, among others, led to most exciting applications in finance. If you would like to be added to (or removed from) the mailing list, or if you are interested in giving a talk in the seminar, please send email to iba@isle.org. These methods for the intelligent analysis of large data sets have emerged from several historically disjoint fields, such as applied statistics, information systems, machine learning, data engineering, artificial intelligence and knowledge discovery in databases. www-csli.stanford.edu /cll/win98/folke.html   (235 words)

Iridium - Press Beta Tests of "Netted Iridium" Push-to-Talk Voice and Data Service Completed Iridium Satellite LLC (www.iridium.com) is the only provider of truly global satellite voice and data solutions with complete coverage of the earth (including oceans, airways and Polar Regions). The Iridium service is ideally suited for industries such as maritime, aviation, government/military, emergency/humanitarian services, mining, forestry, oil and gas, heavy equipment, transportation and utilities. www.iridium.com /corp/iri_corp-news.asp   (613 words)

IEEE UKRI Section Events Much work in the area, can however, fairly be characterised as integration on different levels of several technology directions- intelligent control, artificial intelligence, decision support, soft computing, knowledge discovery, data mining, data fusion, knowledge engineering, ontologies, organisational memories, machine learning, neural networks, intelligent measurement and visualisation- with challenging applications to complex systems. IEEE UKRI Section is glad to invite everyone to an enjoyable evening to hear Simon Singh's entertaining and informative talk about one of the highest points of human achievement -the "Big Bang". Copyright ©2005 IEEE United Kingdom and Republic of Ireland Section. www.ieee.org.uk /event.html   (478 words)

The Greens - Victoria : Media Releases : Largest polluting mine being pushed through red tape - (15 May 2002) Whilst the government and shires talk of a sustainable world, they are quietly rushing through permits to deprive the Glenelg River of environmental flowand to set the scene for wide-ranging environmental damage. A public consultation process on what we can do to improve the health of our rivers has been extended to 17th May. Deakin staff and students will also be collecting data about the condition of the region's river systems, including the Glenelg, Hopkins and Merri systems, all of which have problems needing attention. Candy Broad, our Planning Minister, allow the biggest and dirtiest mining operation in the history of Victoria to go ahead, and cause an environmental and water resource disaster for the Glenelg River. www.vic.greens.org.au /media/releases/020515.html   (478 words)

UBiC Recruit Candidate - Christian von Mering, Functional protein networks: interaction data mining and application to environmental genomics Functional protein networks: interaction data mining and application to environmental genomics In the second part of my talk, I will describe how this consolidated interaction data is useful for making sense of an exciting new source of data: environmental genomics data. The majority of proteins perform their biological role not in isolation, but in close functional interaction with other proteins. bioinformatics.ubc.ca /news_events/event_calendar/event.php?ID=232&Date=2005-02-03   (478 words)

Bill Gates Web Site - Business @ the Speed of Thought - Live Q&A So a lot of things that you wouldn't have thought of doing in the past about querying a rich database, about data mining through information, that will just be so easy to do because the flow of information will go across the network in a very rapid way. In fact, in many cases, they'll be able to expand their business because they'll be able to take their unique value-added and go up on the Internet and talk about that and therefore attract in a larger customer base than they could have previously. So businesses where people are moving around a lot and they don't have this regular structure that forces them to share information-electronic tools I think are even more valuable in that case. www.eu.microsoft.com /billgates/speedofthought/looking/transcript.asp   (6873 words)

Improving Aerosol Retrieval Accuracy by Integrating AERONET, MISR and MODIS Data In this study we explore whether the accuracy of satellite-based AOT retrievals could be improved by fusion of ground- and satellite-based data, and use of appropriate data mining techniques. Contact Us Talk by: Qifang Xu, IST Center, Temple University This is joined work of Qifang Xu, Zoran Obradovic, Bo Han, Yong Li, Amy Braverman, and Slobodan Vucetic. www.ist.temple.edu /~akbar/events/spring2005/02-11.html   (6873 words)

Ian Davidson, Mining, Machine Learning, MML, Data Mining Ian Davidson, Mining, Machine Learning, MML, Data Mining If you like my research areas, schedule a time to talk about www.cs.albany.edu /profiles/davidson.html   (531 words)

Seminar Appl. Math. - Oct. 2002 NAPOMENA: dr Ljiljana Brankovic ce odrzati i predavanje pod naslovom "Privacy in Statistical Databases and Data Mining" u cetvrtak 3.10.2002. In this talk we give the state of art of advances towards this famous conjecture, fondly called a 'disease' of graph theory. What is today commonly known as Ringel-Kotzig conjecture (also as Graceful Tree Conjecture - GTC) is a claim that all trees have a graceful labeling. www.mi.sanu.ac.yu /colloqseminars/programs/seminar2.oct2002.htm   (531 words)

Multi-Task Learning with Gaussian Processes He is interested in Bayesian statistics and statistical machine learning, with applications to data mining, information retrieval, clinical trial management, and intrusion detection. In the talk I will introduce a multi-task learning algorithm with Gaussian processes (GPs) that learns multiple predictors parallelly. The interactions between the predictors are naturally explored by the GP prior learned from all the tasks, which reduces the variances of individual predictors significantly. www2.cs.ust.hk /~jamesk/ai_stat/kai.html   (266 words)

DBLP: Charles Elkan Charles Elkan: Shared challenges in data mining and computational biology (abstract of invited talk). Charles Elkan: Using the Triangle Inequality to Accelerate k-Means. Russell Greiner, Charles Elkan: Measuring and Improving the Effectiveness of Representations. informatik.uni-trier.de /~ley/db/indices/a-tree/e/Elkan:Charles.html   (579 words)

The International Conference on Knowledge Discovery and Data Mining Knowledge discovery in databases (KDD), also referred to as data mining, is an area of common interest to researchers in machine discovery, statistics, databases, knowledge acquisition, machine learning, data visualization, high performance computing, and knowledge-based systems. The International Conference on Knowledge Discovery and Data Mining, sponsored by AAAI, brings together researchers and application developers from different areas focusing on unifying themes. The following information will assist AAAI sponsored KDD conference authors in the preparation of their paper and talk: www.aaai.org /Conferences/KDD/kdd.html   (170 words)

Try your search on: Qwika (all wikis)

About us   |   Why use us?   |   Reviews   |   Press   |   Contact us   Copyright © 2005-2007 www.factbites.com Usage implies agreement with terms.