Sun, 27 Jul 2008 06:01:13 BST CiteULike: Group: VT_DLRL - library [1844 articles] http://www.citeulike.org/group/890 CiteULike.org en-gb Copyright © 2004-2008 citeulike.org http://www.citeulike.org/group/890/article/1982001 <i>Data Mining and Knowledge Discovery, Vol. 1, No. 3. (1997), pp. 259-289.</i><br /><br />Sequences of events describing the behavior and actions of users or systems can be collected in several domains. We consider the problem of discovering frequently occurring episodes in such sequences. An episode is defined to be a collection of events that occur relatively close to each other in a given partial order. Once such episodes are known, one can produce rules for describing or predicting the behavior of the sequence. We give efficient algorithms for the discovery of all frequent... Discovery of Frequent Episodes in Event Sequences Heikki Mannila Hannu Toivonen Inkeri Verkamo Data Mining and Knowledge Discovery, Vol. 1, No. 3. (1997), pp. 259-289. 2007-11-25T19:33:42-00:00 1997 Data Mining and Knowledge Discovery 1 3 259 289 episode frequent http://www.citeulike.org/group/890/article/1747938 <i>(2007), pp. 291-191.</i> Creativity in VR: constraint versus exploration Lorna Mcknight doi:10.1145/1254960.1255027 (2007), pp. 291-191. 2007-10-10T02:18:54-00:00 2007 291 191 ACM Press creativity vr http://www.citeulike.org/group/890/article/1747936 <i>(2007), pp. 1-6.</i> All I really need to know (about creative thinking) I learned (by studying how children learn) in kindergarten Mitchel Resnick doi:10.1145/1254960.1254961 (2007), pp. 1-6. 2007-10-10T02:17:34-00:00 2007 1 6 ACM Press no-tag http://www.citeulike.org/group/890/article/1747928 <i>(2007), pp. 47-54.</i> Drawing a line in the sand: border/boundary theories and games Gregory Garvey doi:10.1145/1274940.1274952 (2007), pp. 47-54. 2007-10-10T02:14:41-00:00 2007 47 54 ACM Press secondlife http://www.citeulike.org/group/890/article/1747926 <i>(2007)</i> The potential of end-user programmable worlds: present and future Jessica Hodgins Amy Bruckman Paul Hemp Cory Ondrejka Vernor Vinge doi:10.1145/1278400.1278404 (2007) 2007-10-10T02:14:00-00:00 2007 ACM Press no-tag http://www.citeulike.org/group/890/article/1747903 <i>(2007), pp. 329-329.</i> How will future learning work in the third dimension? Martin Leidl Guido Rö\ssling doi:10.1145/1268784.1268897 (2007), pp. 329-329. 2007-10-10T02:03:28-00:00 2007 0097-8418 329 329 ACM Press education secondlife http://www.citeulike.org/group/890/article/1450072 <i>Commun. ACM, Vol. 50, No. 7. (July 2007), pp. 30-35.</i> Games for science and engineering education Merrilea Mayo doi:10.1145/1272516.1272536 Commun. ACM, Vol. 50, No. 7. (July 2007), pp. 30-35. 2007-07-12T00:03:33-00:00 2007 Commun. ACM 0001-0782 50 7 30 35 ACM Press education game http://www.citeulike.org/group/890/article/1648417 <i>The Computer Journal, Vol. 42, No. 2. (???? 1999), pp. 100-111.</i><br /><br />this paper, we also consider the approximate dependency inference task: given a relation r and a threshold #, find all minimal non-trivial approximate dependencies TANE: An Efficient Algorithm for Discovering Functional and Approximate Dependencies Ykä Huhtala Juha Kärkkäinen Pasi Porkka Hannu Toivonen The Computer Journal, Vol. 42, No. 2. (???? 1999), pp. 100-111. 2007-09-12T15:46:52-00:00 1999 The Computer Journal 42 2 100 111 no-tag http://www.citeulike.org/group/890/article/607419 <i>(2005), pp. 364-373.</i> Reasoning about sets using redescription mining Mohammed Zaki Naren Ramakrishnan doi:10.1145/1081870.1081912 (2005), pp. 364-373. 2006-04-30T08:50:16-00:00 2005 364 373 ACM Press algorithm thesis http://www.citeulike.org/group/890/article/1586967 <i>ACM Trans. Inter. Tech., Vol. 2, No. 4. (November 2002), pp. 261-275.</i> Literature-based discovery on the World Wide Web Michael Gordon Robert Lindsay Weiguo Fan doi:10.1145/604596.604597 ACM Trans. Inter. Tech., Vol. 2, No. 4. (November 2002), pp. 261-275. 2007-08-24T01:25:27-00:00 2002 ACM Trans. Inter. Tech. 1533-5399 2 4 261 275 ACM Press thesis http://www.citeulike.org/group/890/article/1586660 <i>(1983)</i> Extending the boolean and vector space models of information retrieval with p-norm queries and multiple concept types Edward Fox (1983) 2007-08-23T19:16:28-00:00 1983 thesis http://www.citeulike.org/group/890/article/201598 <i>Commun. ACM, Vol. 40, No. 3. (March 1997), pp. 63-65.</i> Referral Web: combining social networks and collaborative filtering Henry Kautz Bart Selman Mehul Shah doi:10.1145/245108.245123 Commun. ACM, Vol. 40, No. 3. (March 1997), pp. 63-65. 2005-05-16T17:36:37-00:00 1997 Commun. ACM 0001-0782 40 3 63 65 ACM Press collaborative-filtering http://www.citeulike.org/group/890/article/1531095 <i></i> Natural Language Processing - http://www.aaai.org/AITopics/html/natlang.html 2007-08-02T18:34:16-00:00 natural-language-processing http://www.citeulike.org/group/890/article/1525558 <i>Pattern Recognition, Vol. 30, No. 7. (1997), pp. 1145-1159.</i> The Use of the Area Under the ROC Curve in the Evaluation of Machine Learning Algorithms Andrew Bradley Pattern Recognition, Vol. 30, No. 7. (1997), pp. 1145-1159. 2007-07-31T17:51:12-00:00 1997 Pattern Recognition 30 7 1145 1159 classification http://www.citeulike.org/group/890/article/1449691 <i>Machine Learning, Vol. 42, No. 3. (2001), pp. 203-231.</i><br /><br />In real-world environments it usually is difficult to specify target operating conditions precisely, for example, target misclassification costs. This uncertainty makes building robust classification systems problematic. We show that it is possible to build a hybrid classifier that will perform at least as well as the best available classifier for any target conditions. In some cases, the performance of the hybrid actually can surpass that of the best known classifier. This robust performance... Robust Classification for Imprecise Environments Foster Provost Tom Fawcett Machine Learning, Vol. 42, No. 3. (2001), pp. 203-231. 2007-07-11T17:22:34-00:00 2001 Machine Learning 42 3 203 231 classification http://www.citeulike.org/group/890/article/820297 <i>Pattern Recognition Letters, Vol. 27, No. 8. (June 2006), pp. 861-874.</i><br /><br />Receiver operating characteristics (ROC) graphs are useful for organizing classifiers and visualizing their performance. ROC graphs are commonly used in medical decision making, and in recent years have been used increasingly in machine learning and data mining research. Although ROC graphs are apparently simple, there are some common misconceptions and pitfalls when using them in practice. The purpose of this article is to serve as an introduction to ROC graphs and as a guide for using them in research. An introduction to ROC analysis Tom Fawcett doi:10.1016/j.patrec.2005.10.010 Pattern Recognition Letters, Vol. 27, No. 8. (June 2006), pp. 861-874. 2006-08-29T01:24:20-00:00 2006 Pattern Recognition Letters 27 8 861 874 classification http://www.citeulike.org/group/890/article/1447292 <i>(2004)</i><br /><br />The area under an ROC curve (AUC) is a criterion used in many applications to measure the quality of a classification algorithm. However, the objective function optimized in most of these algorithms is the error rate and not the AUC value. We give a detailed statistical analysis of the relationship between the AUC and the error rate, including the first exact expression of the expected value and the variance of the AUC for a fixed error rate. Our results show that the average AUC is... AUC optimization vs. error rate minimization C Cortes M Mohri (2004) 2007-07-10T20:28:49-00:00 2004 classification http://www.citeulike.org/group/890/article/1447285 <i>(2003)</i><br /><br />Cross entropy and mean squared error are typical cost functions used to optimize classifier performance. The goal of the optimization is usually to achieve the best correct classification rate. However, for many two-class real-world problems, the ROC curve is a more meaningful performance measure. We demonstrate that minimizing cross entropy or mean squared error does not necessarily maximize the area under the ROC curve(AUC). We then consider alternative objective functions for training a... Optimizing Classifier Performance Via the Wilcoxon-Mann-Whitney Statistics L Yan R Dodier M Mozer R Wolniewicz (2003) 2007-07-10T20:21:53-00:00 2003 classification http://www.citeulike.org/group/890/article/1429230 <i>Library Trends, Special Issue on Assessing and Evaluating Digital Library Services, Vol. 49, No. 2. (2000), pp. 228-250.</i> Evaluating digital libraries for teaching and learning in undergraduate education: a case study of the Alexandria Digital Earth Prototype (ADEPT) Borgman Library Trends, Special Issue on Assessing and Evaluating Digital Library Services, Vol. 49, No. 2. (2000), pp. 228-250. 2007-07-02T17:57:13-00:00 2000 Library Trends, Special Issue on Assessing and Evaluating Digital Library Services 49 2 228 250 digital evalutaion library http://www.citeulike.org/group/890/article/1411523 <i>(1986)</i> Software testing and evaluation Richard Demillo (1986) 2007-06-25T18:15:56-00:00 1986 Benjamin-Cummings Publishing Co., Inc. ibm-evaluation http://www.citeulike.org/group/890/article/1411518 <i>(2007), pp. 117-126.</i> Task-based interaction with an integrated multilingual, multimedia information system: a formative evaluation Pengyi Zhang Lynne Plettenberg Judith Klavans Douglas Oard Dagobert Soergel doi:10.1145/1255175.1255199 (2007), pp. 117-126. 2007-06-25T18:13:33-00:00 2007 117 126 ACM Press ibm-evaluation http://www.citeulike.org/group/890/article/1411517 <i>(2007)</i> Task-based interaction with an integrated multilingual, multimedia information system: a formative evaluation (presentation) Pengyi Zhang Lynne Plettenberg Judith Klavans Douglas Oard Dagobert Soergel (2007) 2007-06-25T18:13:08-00:00 2007 ibm-evaluation http://www.citeulike.org/group/890/article/1411513 <i>(1975), pp. 382-394.</i> Testing large software with automated software evaluation systems CV Ramamoorthy SF Ho doi:10.1145/800027.808461 (1975), pp. 382-394. 2007-06-25T18:10:18-00:00 1975 382 394 ACM Press ibm-evaluation http://www.citeulike.org/group/890/article/1404735 <i>Vol. 39, No. 1. (March 2007), pp. 55-59.</i> Towards a Syllabus Repository for Computer Science Courses Manas Tungare Xiaoyan Yu William Cameron Guofang Teng Manuel Pérez-Quiñones Edward Fox Weiguo Fan Lillian Cassel Vol. 39, No. 1. (March 2007), pp. 55-59. 2007-06-22T13:42:35-00:00 2007 39 1 55 59 New York, NY, USA syllabus http://www.citeulike.org/group/890/article/1404729 <i>(2006)</i> Towards a Standardized Representation of Syllabi to Facilitate Sharing and Personalization of Digital Library Content Manas Tungare Xiaoyan Yu Guofang Teng Manuelpérez-Quiñones Edward Fox Weiguo Fan Lillian Cassel (2006) 2007-06-22T13:37:46-00:00 2006 ie http://www.citeulike.org/group/890/article/1404719 <i>(2007)</i> Using Automatic Metadata Extraction to Build a Structured Syllabus Repository xiaoyan Yu Manas Tungare Weiguo Fan Manuel Perez-Quinones Edward Fox William Cameron Lilian Cassel (2007) 2007-06-22T13:31:42-00:00 2007 ie http://www.citeulike.org/group/890/article/1404703 <i>(2008)</i> Automatic Syllabus Classification using Data Mining Technique xiaoyan Yu Manas Tungare Weiguo Fan Manuel Perez-Quinones Edward Fox William Cameron Lilian Cassel (2008) 2007-06-22T13:24:10-00:00 2008 Idea Group Reference classification http://www.citeulike.org/group/890/article/1392410 <i>(1999)</i><br /><br />Smoothing methods, extensively used for solving important mathematical programming problems and applications, are applied here to generate and solve an unconstrained smooth reformulation of the support vector machine for pattern classification using a completely arbitrary kernel. We term such reformulation a smooth support vec- tor machine (SSVM). A fast Newton-Armijo algorithm for solving the SSVM converges globally and quadratically. Numerical results and comparisons are given to... SSVM: A Smooth Support Vector Machine for Classification Y Lee O Mangasarian (1999) 2007-06-15T16:45:28-00:00 1999 classification http://www.citeulike.org/group/890/article/989279 <i>J. Mach. Learn. Res., Vol. 5 (2004), pp. 361-397.</i> RCV1: A New Benchmark Collection for Text Categorization Research David Lewis Yiming Yang Tony Rose Fan Li doi:10.1145/122860.122861 J. Mach. Learn. Res., Vol. 5 (2004), pp. 361-397. 2006-12-12T03:09:20-00:00 2004 J. Mach. Learn. Res. 1533-7928 5 361 397 MIT Press classification http://www.citeulike.org/group/890/article/354064 <i>(1999), pp. 42-49.</i> A re-examination of text categorization methods Yiming Yang Xin Liu doi:10.1145/312624.312647 (1999), pp. 42-49. 2005-10-18T16:09:50-00:00 1999 42 49 ACM Press classification http://www.citeulike.org/group/890/article/1356188 <i>(2006), pp. 1-10.</i> Exploring digital libraries: integrating browsing, searching, and visualization Rao Shen Naga Vemuri Weiguo Fan Ricardo Edward Fox doi:10.1145/1141753.1141755 (2006), pp. 1-10. 2007-06-01T19:15:13-00:00 2006 1 10 ACM Press exploring thesis http://www.citeulike.org/group/890/article/1288940 <i>(2007), pp. 501-510.</i> Optimizing web search using social annotations Shenghua Bao Guirong Xue Xiaoyuan Wu Yong Yu Ben Fei Zhong Su doi:10.1145/1242572.1242640 (2007), pp. 501-510. 2007-05-10T22:36:45-00:00 2007 501 510 ACM Press algorithm thesis http://www.citeulike.org/group/890/article/478616 <i>(1998)</i><br /><br />Recent approaches to text classification have used two di#erent first-order probabilistic models for classification, both of which make the naive Bayes assumption. A comparison of event models for Naive Bayes text classification A Mccallum K Nigam (1998) 2006-01-24T00:35:11-00:00 1998 classification http://www.citeulike.org/group/890/article/373647 <i>(1995), pp. 338-345.</i><br /><br />When modeling a probability distribution with a Bayesian network, we are faced with the problem of how to handle continuous variables. Most previous work has either solved the problem by discretizing, or assumed that the data are generated by a single Gaussian. In this paper we abandon the normality assumption and instead use statistical methods for nonparametric density estimation. For a naive Bayesian classifier, we present experimental results on a variety of natural and artificial domains,... Estimating Continuous Distributions in Bayesian Classifiers George John Pat Langley (1995), pp. 338-345. 2005-10-31T15:29:18-00:00 1995 338 345 classification http://www.citeulike.org/group/890/article/1318037 <i>(May 2007)</i> Academic Social Referencing tools: a user trial with BibSonomy and Cite-U-Like organized by the Library of the University of Amsterdam HJ Heesakkers M Hoekstra Maurits van der Graaf (May 2007) 2007-05-21T16:51:20-00:00 2007 survey thesis http://www.citeulike.org/group/890/article/1292613 <i>(2004)</i> Integrating Image and Spatial Data for Biodiversity Information Management Da CB Medeiros EM Hallerman MA Goncalves E Fox (2004) 2007-05-13T17:20:11-00:00 2004 dlf http://www.citeulike.org/group/890/article/1292612 <i>(2004)</i> Integrating Image and Spatial Data for Biodiversity Information Management RS Torres (2004) 2007-05-13T17:20:11-00:00 2004 dlf http://www.citeulike.org/group/890/article/1292611 <i>(October 2004)</i> Integrating Image and Spatial Data for Biodiversity Information Management Da (October 2004) 2007-05-13T17:20:11-00:00 2004 dlf http://www.citeulike.org/group/890/article/1292610 <i>(Outubro 2004)</i> Ambiente de Gerenciamento de Imagens e Dados Espaciais para Desenvolvimento de Aplicacoes em Biodiversidade Da (Outubro 2004) 2007-05-13T17:20:11-00:00 2004 dlf http://www.citeulike.org/group/890/article/1292609 <i>No. TR-04-01. (2004)</i> An OAI-based Digital Library Framework for Biodiversity Information Systems Da CB Medeiros MA Goncalves E Fox No. TR-04-01. (2004) 2007-05-13T17:20:11-00:00 2004 TR-04-01 dlf http://www.citeulike.org/group/890/article/1292608 <i>No. IC-0303. (January 2003)</i> A Graph-based Approach for Multiscale Shape Analysis Da AX Falcão Da No. IC-0303. (January 2003) 2007-05-13T17:20:11-00:00 2003 IC-0303 dlf http://www.citeulike.org/group/890/article/1292607 <i>No. IC-04-12. (2004)</i> Integrating Image and Spatial Data for Biodiversity Information Management Da CB Medeiros EM Hallerman MA Goncalves E Fox No. IC-04-12. (2004) 2007-05-13T17:20:11-00:00 2004 IC-04-12 dlf http://www.citeulike.org/group/890/article/1292606 <i>No. IC-04-11. (2004)</i> Contour Salience Descriptors for Effective Image Retrieval and Analysis Da Alexandre Falcão No. IC-04-11. (2004) 2007-05-13T17:20:11-00:00 2004 IC-04-11 dlf http://www.citeulike.org/group/890/article/1292605 <i>No. IC-05-21. (2005)</i> A New Framework to Combine Descriptors for Content-based Image Retrieval Da AX Falcão MA Goncalves B Zhang W Fan EA Fox No. IC-05-21. (2005) 2007-05-13T17:20:11-00:00 2005 IC-05-21 dlf http://www.citeulike.org/group/890/article/1292604 <i>No. IC-06-12. (Sep. 2006)</i> Wavelet-based Feature Extraction for Fingerprint Image Retrieval JAM Zegarra NJ Leite Da No. IC-06-12. (Sep. 2006) 2007-05-13T17:20:11-00:00 2006 IC-06-12 dlf http://www.citeulike.org/group/890/article/1292603 <i>No. IC-07-05. (Feb. 2007)</i> Image Retrieval with Relevance Feedback based on Genetic Programming CD Ferreira Da No. IC-07-05. (Feb. 2007) 2007-05-13T17:20:11-00:00 2007 IC-07-05 dlf http://www.citeulike.org/group/890/article/1292602 <i>(June 2004)</i> Using Digital Library Components for Biodiversity Systems Da CB Medeiros RQ Dividino MA Figueiredo MA Goncalves EA Fox R Richardson (June 2004) 2007-05-13T17:20:11-00:00 2004 dlf http://www.citeulike.org/group/890/article/1292601 <i>(2005), pp. 335-336.</i> A New Framework to Combine Descriptors for Content-based Image Retrieval Da AX Falcão MA Goncalves B Zhang W Fan EA Fox P Calado (2005), pp. 335-336. 2007-05-13T17:20:11-00:00 2005 335 336 dlf http://www.citeulike.org/group/890/article/1292600 <i>(June 2004)</i> An OAI Compliant Content-Based Image Search Component Da CB Medeiros MA Goncalves EA Fox (June 2004) 2007-05-13T17:20:11-00:00 2004 dlf http://www.citeulike.org/group/890/article/1292599 <i>Vol. LNCS 4172 (2006), pp. 540-543.</i> Sierra -- A Superimposed Application for Enhanced Image Description and Retrieval U Murthy Da EA Fox Vol. LNCS 4172 (2006), pp. 540-543. 2007-05-13T17:20:11-00:00 2006 LNCS 4172 540 543 dlf