@article{Harman-The-1995, title = {The TREC Conferences }, author = {Donna Harman}, year = 1995, url = {http://portal.acm.org/citation.cfm?id=160692}, abstract = { The first Text REtrieval Conference (TREC-1) was held in early November 1992 and was attended by about 100 people working in the 25 participating groups. The goal of the conference was to bring research groups together to discuss their work on a new large test collection. There was a large variety of retrieval techniques reported on, including methods using automatic thesaurii, sophisticated term weighting, natural language techniques, relevance feedback, and advanced pattern matching. As results had been run through a common evaluation package, groups were able to compare the effectiveness of different techniques, and discuss how differences among the sytems affected performance. }, biburl = {http://www.bibsonomy.org/bibtex/2f6ca16d4e9a325baf297826a71232969/juver}, keywords = {thesaurus effectiveness Text_Retrieval_Conference TREC relevance_feedback pattern_matching retrieval natural_language_technique wismasys0809} } @article{DellaMea-Measuring-2004, title = { Measuring retrieval effectiveness. A new proposal and a first experimental validation}, author = {V. Della Mea and S. Mizzaro}, year = 2004, url = {http://www3.interscience.wiley.com/cgi-bin/fulltext/107599546/HTMLSTART}, abstract = {Most common effectiveness measures for information retrieval systems are based on the assumptions of binary relevance (either a document is relevant to a given query or it is not) and binary retrieval (either a document is retrieved or it is not). In this article, these assumptions are questioned, and a new measure named ADM (average distance measure) is proposed, discussed from a conceptual point of view, and experimentally validated on Text Retrieval Conference (TREC) data. Both conceptual analysis and experimental evidence demonstrate ADM's adequacy in measuring the effectiveness of information retrieval systems. Some potential problems about precision and recall are also highlighted and discussed.}, biburl = {http://www.bibsonomy.org/bibtex/24ff8bdeb06c1567d68189b197e434aa4/juver}, keywords = {effectiveness ADM validation Text_Retrieval_Conference TREC average_distance_measure retrieval wismasys0809} } @article{DellaMea-Measuring-2004, title = { Measuring retrieval effectiveness. A new proposal and a first experimental validation}, author = {V. Della Mea and S. Mizzaro}, year = 2004, url = {http://www3.interscience.wiley.com/cgi-bin/fulltext/107599546/HTMLSTART}, abstract = {Most common effectiveness measures for information retrieval systems are based on the assumptions of binary relevance (either a document is relevant to a given query or it is not) and binary retrieval (either a document is retrieved or it is not). In this article, these assumptions are questioned, and a new measure named ADM (average distance measure) is proposed, discussed from a conceptual point of view, and experimentally validated on Text Retrieval Conference (TREC) data. Both conceptual analysis and experimental evidence demonstrate ADM's adequacy in measuring the effectiveness of information retrieval systems. Some potential problems about precision and recall are also highlighted and discussed.}, biburl = {http://www.bibsonomy.org/bibtex/24ff8bdeb06c1567d68189b197e434aa4/suny}, keywords = {information effectiveness retrieval wismasys0809 measuring} } @article{DellaMea-Measuring-2004, title = {Measuring retrieval effectiveness. A new proposal and a first experimental validation}, author = {V. Della Mea and S. Mizzaro}, year = 2004, url = {http://www3.interscience.wiley.com/cgi-bin/fulltext/107599546/HTMLSTART}, abstract = {Most common effectiveness measures for information retrieval systems are based on the assumptions of binary relevance (either a document is relevant to a given query or it is not) and binary retrieval (either a document is retrieved or it is not). In this article, these assumptions are questioned, and a new measure named ADM (average distance measure) is proposed, discussed from a conceptual point of view, and experimentally validated on Text Retrieval Conference (TREC) data. Both conceptual analysis and experimental evidence demonstrate ADM's adequacy in measuring the effectiveness of information retrieval systems. Some potential problems about precision and recall are also highlighted and discussed.}, biburl = {http://www.bibsonomy.org/bibtex/278bad2101f7c38a332ccc6fa835bf907/juver}, keywords = {system information_retrieval effectiveness ADM validation average_distance_measure retrieval wismasys0809} } @article{DellaMea-Measuring-2004, title = { Measuring retrieval effectiveness. A new proposal and a first experimental validation}, author = {V. Della Mea and S. Mizzaro}, year = 2004, url = {http://www3.interscience.wiley.com/cgi-bin/fulltext/107599546/HTMLSTART}, abstract = {Most common effectiveness measures for information retrieval systems are based on the assumptions of binary relevance (either a document is relevant to a given query or it is not) and binary retrieval (either a document is retrieved or it is not). In this article, these assumptions are questioned, and a new measure named ADM (average distance measure) is proposed, discussed from a conceptual point of view, and experimentally validated on Text Retrieval Conference (TREC) data. Both conceptual analysis and experimental evidence demonstrate ADM's adequacy in measuring the effectiveness of information retrieval systems. Some potential problems about precision and recall are also highlighted and discussed.}, biburl = {http://www.bibsonomy.org/bibtex/24ff8bdeb06c1567d68189b197e434aa4/p.maghferat}, keywords = {information effectiveness retrieval wismasys0809 measuring'} } @article{DellaMea-Measuring-2004, title = { Measuring retrieval effectiveness. A new proposal and a first experimental validation}, author = {V. Della Mea and S. Mizzaro}, year = 2004, url = {http://www3.interscience.wiley.com/cgi-bin/fulltext/107599546/HTMLSTART}, abstract = {Most common effectiveness measures for information retrieval systems are based on the assumptions of binary relevance (either a document is relevant to a given query or it is not) and binary retrieval (either a document is retrieved or it is not). In this article, these assumptions are questioned, and a new measure named ADM (average distance measure) is proposed, discussed from a conceptual point of view, and experimentally validated on Text Retrieval Conference (TREC) data. Both conceptual analysis and experimental evidence demonstrate ADM's adequacy in measuring the effectiveness of information retrieval systems. Some potential problems about precision and recall are also highlighted and discussed.}, biburl = {http://www.bibsonomy.org/bibtex/24ff8bdeb06c1567d68189b197e434aa4/robo}, keywords = {information effectiveness validation retrieval wismasys0809 measuring} } @article{ISI:000250063700001, title = {Mitigation strategies to reduce pesticide inputs into ground- and surface water and their effectiveness; A review}, author = {Stefan Reichenberger and Martin Bach and Adrian Skitschak and Hans-Georg Frede}, journal = {SCIENCE OF THE TOTAL ENVIRONMENT}, number = {1-3}, pages = {1-35}, volume = 384, year = 2007, issn = {0048-9697}, abstract = {In this paper, the current knowledge on mitigation strategies to reduce pesticide inputs into surface water and groundwater, and their effectiveness when applied in practice is reviewed. Apart from their effectiveness in reducing pesticide inputs into ground and surface water, the mitigation measures identified in the literature are evaluated with respect to their practicability. Those measures considered both effective and feasible are recommended for implementing at the farm and catchment scale. Finally, recommendations for modelling are provided using the identified reduction efficiencies. Roughly 180 publications directly dealing with or being somehow related to mitigation of pesticide inputs into water bodies were examined. The effectiveness of grassed buffer strips located at the lower edges of fields has been demonstrated. However, this effectiveness is very variable, and the variability cannot be explained by strip width alone. Riparian buffer strips are most probably much less effective than edge-of-field buffer strips in reducing pesticide runoff and erosion inputs into surface waters. Constructed wetlands are promising tools for mitigating pesticide inputs via runoff/erosion and drift into surface waters, but their effectiveness still has to be demonstrated for weakly and moderately sorbing compounds. Subsurface drains are an effective mitigation measure for pesticide runoff losses from slowly permeable soils with frequent waterlogging. For the pathways drainage and leaching, the only feasible mitigation measures are application rate reduction, product substitution and shift of the application date. There are many possible effective measures of spray drift reduction. While sufficient knowledge exists for suggesting default values for the efficiency of single drift mitigation measures, little information exists on the effect of the drift reduction efficiency of combinations of measures. More research on possible interactions between different drift mitigation measures and the resulting overall drift reduction efficiency is therefore indicated. Point-source inputs can be mitigated against by increasing awareness of the farmers with regard to pesticide handling and application, and encouraging them to implement loss-reducing measures of ��best management practice". In catchments dominated by diffuse inputs at least in some years, mitigation of point-source inputs alone may not be sufficient to reduce pesticide loads/concentrations in water bodies to an acceptable level. (C) 2007 Published by Elsevier B.V.}, biburl = {http://www.bibsonomy.org/bibtex/2f845e5cac26e5f25551e0eb26d993155/resourcemgmt}, keywords = {risk diffuse_sources effectiveness IFZ practicability pesticides mitigation_measures point_sources} } @article{shah:2004:AIM, title = {Data mining and genetic algorithm based gene/{SNP} selection}, author = {Shital C. Shah and Andrew Kusiak}, journal = {Artificial Intelligence in Medicine}, month = {July}, number = 3, pages = {183--196}, volume = 31, year = 2004, url = {http://www.icaen.uiowa.edu/~ankusiak/Journal-papers/Gen_Shital.pdf}, doi = {doi:10.1016/j.artmed.2004.04.002}, size = {14 pages}, abstract = {Objective: Genomic studies provide large volumes of data with the number of single nucleotide polymorphisms (SNPs) ranging into thousands. The analysis of SNPs permits determining relationships between genotypic and phenotypic information as well as the identification of SNPs related to a disease. The growing wealth of information and advances in biology call for the development of approaches for discovery of new knowledge. One such area is the identification of gene/SNP patterns impacting cure/drug development for various diseases. Methods: A new approach for predicting drug effectiveness is presented. The approach is based on data mining and genetic algorithms. A global search mechanism, weighted decision tree, decision-tree-based wrapper, a correlation-based heuristic, and the identification of intersecting feature sets are employed for selecting significant genes. Results: The feature selection approach has resulted in 85% reduction of number of features. The relative increase in cross-validation accuracy and specificity for the significant gene/SNP set was 10% and 3.2%, respectively. Conclusion: The feature selection approach was successfully applied to data sets for drug and placebo subjects. The number of features has been significantly reduced while the quality of knowledge was enhanced. The feature set intersection approach provided the most significant genes/SNPs. The results reported in the paper discuss associations among SNPs resulting in patient-specific treatment protocols.}, biburl = {http://www.bibsonomy.org/bibtex/274b13a82dc29cdf83372e4165128f0db/brazovayeye}, keywords = {Genes, (SNPs), nucleotide mining, Feature Single Data Intersection programming, effectiveness genetic polymorphisms Drug selection, algorithms, approach,} } @article{Lien2005, title = {The use and abuse of the hedging effectiveness measure}, author = {Donald Lien}, journal = {International Review of Financial Analysis}, number = 2, pages = {277--282}, volume = 14, year = 2005, url = {http://www.sciencedirect.com/science/article/B6W4W-4F8TG5K-1/1/bfd88ba74ee21597597becced6cb2e5b}, biburl = {http://www.bibsonomy.org/bibtex/2f6d2720c548f7f01035231fab3b12a71/smicha}, keywords = {effectiveness Hedging} } @article{Brailsford2001, title = {A comparison of measures of hedging effectiveness: a case study using the Australian All Ordinaries Share Price Index Futures contract}, author = {Tim Brailsford and Katherine Corrigan and Richard Heaney}, journal = {Journal of Multinational Financial Management}, month = {Dec}, number = {4-5}, pages = {465--481}, volume = 11, year = 2001, url = {http://www.sciencedirect.com/science/article/B6VGV-43TG01T-9/1/f290f853e6c65aae8d9acf35dd588a18}, biburl = {http://www.bibsonomy.org/bibtex/2fe9ae82af51ea4006e087418f3bc15e1/smicha}, keywords = {effectiveness Hedge} } @article{In2006, title = {Multiscale hedge ratio between the Australian stock and futures markets: Evidence from wavelet analysis}, author = {Francis In and Sangbae Kim}, journal = {Journal of Multinational Financial Management}, month = {Oct}, number = 4, pages = {411--423}, volume = 16, year = 2006, url = {http://www.sciencedirect.com/science/article/B6VGV-4HTBM0S-1/1/ec30d67a62fc6d827e6bc2706373e707}, biburl = {http://www.bibsonomy.org/bibtex/20cc9edd6aa5ccc5af054fd5236f867c6/smicha}, keywords = {effectiveness Hedging} } @inproceedings{lewis1991, title = {Evaluating Text Categorization}, address = {San Francisco, CA}, author = {David D. Lewis}, booktitle = {Proceedings of the Speech and Natural Language Workshop}, pages = {312--318}, publisher = {Morgan Kaufmann}, year = 1991, url = {http://www.aclweb.org/anthology-new/H/H91/H91-1061.pdf}, biburl = {http://www.bibsonomy.org/bibtex/2a3fde85d6a74eedca723ea8a2623413b/jil}, keywords = {text macro precision micro effectiveness averaging recall measures fallout evaluation categorization} } @article{Carriere2000, title = {Crossover designs for two-treatment clinical trials}, author = {K. C. Carriere and Rong Huang}, journal = {Journal of Statistical Planning and Inference}, month = {May}, number = 1, pages = {125--134}, volume = 87, year = 2000, day = 15, url = {http://www.sciencedirect.com/science/article/B6V0M-402K82N-B/1/f8579452673285058afe73c3eb71f0fd}, biburl = {http://www.bibsonomy.org/bibtex/2aff01e86771a87e12d891282bba2e49c/smicha}, keywords = {Cost effectiveness} } @article{Leon2007, title = {Quintile stratification based on a misspecified propensity score in longitudinal treatment effectiveness analyses of ordinal doses}, author = {Andrew C. Leon and Donald Hedeker}, journal = {Computational Statistics \& Data Analysis}, month = {Aug}, number = 12, pages = {6114--6122}, volume = 51, year = 2007, day = 15, url = {http://www.sciencedirect.com/science/article/B6V8V-4MKKCKR-7/1/6d4a0e4d2a92e4a76f7e86e86e9aaf83}, biburl = {http://www.bibsonomy.org/bibtex/2de262685e48c6dea27c847dcc4702f31/smicha}, keywords = {Effectiveness} } @article{Sumner2003, title = {Does monetary policy become more desirable as it becomes less effective?}, author = {Scott Sumner}, journal = {Economics Letters}, month = {Oct}, number = 1, pages = {125--128}, volume = 81, year = 2003, url = {http://www.sciencedirect.com/science/article/B6V84-4961Y26-2/2/97d818130f262017fb5cf97f6678ab4e}, description = {Economics Letters}, biburl = {http://www.bibsonomy.org/bibtex/27802d9d57b73960aec5f50a2da7492e6/smicha}, keywords = {effectiveness Policy} } @book{Kaplan.2006, title = {The Balanced Scorecard: Translating Strategy into Action}, address = {Boston, Mass.}, author = {Robert S. Kaplan and David P. Norton}, publisher = {Harvard Business School Press}, year = 2006, price = {EUR 33.00}, isbn = {0875846513}, abstract = {Literaturangaben}, biburl = {http://www.bibsonomy.org/bibtex/2d727b186f3147d9920de03663959ec76/callagialla}, keywords = {planningOrganizational MethodeStrategisches in MeasurementSTRATEGIC setting EvaluationEMPLOYEE personnel effectiveness Managementbalanced motivationGoal management scorecardIndustrial productivity} } @article{brooks2005aet, title = {An analysis of the effectiveness of tagging in blogs}, author = {C.H. Brooks and N. Montanez}, journal = {AAAI Spring Symposium on Computational Approaches to Analyzing Weblogs, AAAI}, year = 2005, url = {http://www.cs.usfca.edu/~brooks/papers/tagging-paper.pdf}, biburl = {http://www.bibsonomy.org/bibtex/27eda1a66cbe98e12b6e36aa32aeb7878/mginf}, keywords = {effectiveness tagging blog analysis} } @article{keyhere, title = {Towards a kernel theory of external knowledge integration for high-tech firms: Exploring a failed theory test}, author = {Jeroen Kraaijenbrink and Fons Wijnhoven and Aard Groen}, journal = {Technological Forecasting and Social Change}, month = {#oct#}, number = 8, pages = {1215--1233}, volume = 74, year = 2007, url = {http://www.sciencedirect.com/science/article/B6V71-4N55TD2-1/2/f605a76f94c5ccfe8852074b7ca79654}, description = {ScienceDirect - Technological Forecasting and Social Change : Towards a kernel theory of external knowledge integration for high-tech firms: Exploring a failed theory test}, abstract = {Designing information systems (ISs) requires a thorough understanding of the organizational knowledge processes in which these systems are used. Although much is known about internal organizational knowledge processes, the understanding of external knowledge processes is less developed. Hence, this paper reflects an attempt to operationalize and test a model of the process of external knowledge integration (EKI), consisting of an identification, acquisition, and utilization stage. We utilize high-technology based firms from a variety of high-tech categories including nanotechnology based firms since these firms have critical knowledge integration needs. The results of an international survey, with responses of 317 high-tech companies, suggest that not these three EKI-stages, but four organizational effectiveness functions (goal attainment, pattern maintenance, adaptation, and integration) account for most variation in responses. These findings seem to imply that ISs that are to support the EKI-process should be designed according to organizational effectiveness functions rather than to EKI-stages. It is proposed that each organizational effectiveness function imposes different requirements on ISs because users interact differently with IS in each function.}, biburl = {http://www.bibsonomy.org/bibtex/2fc5a309cecadb540dec3488f25afc3c5/karipuf}, keywords = {functions Organizational effectiveness SMEs integration Factor High-tech analysis Knowledge} } @inproceedings{citeulike:1405074, title = {What Makes a Good Diagram? Improving the Cognitive Effectiveness of Diagrams in IS Development}, address = {Budapest, Hungary}, author = {Daniel Moody}, booktitle = {Intl Conf on Information Systems Development}, editor = { Knapp and Magyar}, month = {August 31-2}, publisher = {Springer}, year = 2006, id = {1405074}, priority = {0}, comment = {It is assumed without proof that diagrams are superior to text for communication. Diagrams are critical for IS development. People are not trained on how to draw good diagrams, how to layout and present diagrams. Some commonly accepted best practices actually hurt readability. No theoretical or empirical evidence for the syntax used in diagrams. We need to understand (1) the langauge of graphics and (2) human graphical information processing. 1. Bertin introduces visual variables: planar (vertical and horizontal placement) and retinal variables (shape, color, size, value, orientation, and texture). 2. Human graphical inofrmation processing involves perceptual processing (discrimination, configuration) and cognitive processing (working memory and long term memory). Principles for producing effective diagrams can be defined. 1. Discriminability: Absolute (size, contrast, proximity) and relative. 2. Modularity: most diagrams are too complex to understand. 3. Emphasis: most important things should stand out. 4. Cognitive integration: most systems represented by many diagrams. Perceptual integration: cues for navigation, and conceptual integration: forming a coherent mental representation. Techniques for cognitive integration: summary diagrams, nagivational map, signmposting, current context. 5. Perceptual directness: offload interpretation, iconic representations, perceptually direct relationships. 6. Structure: perceptual grouping. 7. Identification: external identification: correspondence between the model and the world; internal identification(graphical encoding) correspondence between conventions and meaning. 8. Visual expressiveness: the number of visual variables used to encode information. 9. Graphical simplicity: the number of conventions used. These principles can be applied to graphical languages or to instance models. They help to design better languages and to modify existing languages.}, description = {Citeulike 06/22/07}, biburl = {http://www.bibsonomy.org/bibtex/262d7395f0cfc3d0e389754cb2797b963/neilernst}, keywords = {cognitive effectiveness modeling seoss diagrams} } @article{Norris2005, title = {Long-term non-pharmacologic weight loss interventions for adults with type 2 diabetes.}, author = {S. L. Norris and X. Zhang and A. Avenell and E. Gregg and T. J. Brown and C. H. Schmid and J. Lau}, journal = {Cochrane database of systematic reviews (Online)}, month = {xx}, note = {10.1002/14651858.CD004095.pub2}, pages = 004095, year = 2005, day = {xx}, url = {http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=15846698&dopt=Abstract}, issue = {2}, biburl = {http://www.bibsonomy.org/bibtex/2d47a213f7527e259e011e167ece09c35/abelmora}, keywords = {effectiveness clinical} }