skip to main content
Skip header Section
Modern Applied Statistics with SDecember 2010
Publisher:
  • Springer Publishing Company, Incorporated
ISBN:978-1-4419-3008-8
Published:01 December 2010
Pages:
495
Skip Bibliometrics Section
Bibliometrics
Skip Abstract Section
Abstract

A guide to using S environments to perform statistical analyses providing both an introduction to the use of S and a course in modern statistical methods. The emphasis is on presenting practical problems and full analyses of real data sets.

Cited By

  1. ACM
    Emamgholizadeh H, Delić A and Ricci F (2024). Predicting Group Choices from Group Profiles, ACM Transactions on Interactive Intelligent Systems, 14:1, (1-27), Online publication date: 31-Mar-2024.
  2. Chacón H, Koppisetti V, Hardage D, Choo K and Rad P (2023). Forecasting call center arrivals using temporal memory networks and gradient boosting algorithm, Expert Systems with Applications: An International Journal, 224:C, Online publication date: 15-Aug-2023.
  3. Vexler A, Gao X and Zhou J (2023). How to implement signed-rank wilcox.test() type procedures when a center of symmetry is unknown, Computational Statistics & Data Analysis, 184:C, Online publication date: 1-Aug-2023.
  4. Gan W, Liu Z, Chen C and Zhang T (2023). Siamese labels auxiliary learning, Information Sciences: an International Journal, 625:C, (314-326), Online publication date: 1-May-2023.
  5. Van Niekerk J, Krainski E, Rustand D and Rue H (2023). A new avenue for Bayesian inference with INLA, Computational Statistics & Data Analysis, 181:C, Online publication date: 1-May-2023.
  6. ACM
    Sharif A, Ramesh A, Yu Q, Nguyen T and Xu X UnlockedMaps: A Web-Based Map for Visualizing the Real-Time Accessibility of Urban Rail Transit Stations Proceedings of the 20th International Web for All Conference, (5-17)
  7. Wang H, Guo T, Wang Z, Xiao J, Gao L, Gao X and Wang H (2023). PreCowKetosis, Computers and Electronics in Agriculture, 206:C, Online publication date: 1-Mar-2023.
  8. Arvinte R and Trandabat D (2024). Using neural networks to personalize immunosuppressive dosing in renal transplanted patients, Procedia Computer Science, 225:C, (3967-3976), Online publication date: 1-Jan-2023.
  9. ACM
    Karatzoglou A Applying network kernel density estimation (NKDE) and temporal network kernel estimation (TNKDE) for generating safer routes Proceedings of the 15th ACM SIGSPATIAL International Workshop on Computational Transportation Science, (1-10)
  10. ACM
    Sharif A, McCall A and Bolante K Should I Say “Disabled People” or “People with Disabilities”? Language Preferences of Disabled People Between Identity- and Person-First Language Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility, (1-18)
  11. Manteuffel C, Dirksen N and Hartwig T (2021). From extra to actor, Computers and Electronics in Agriculture, 191:C, Online publication date: 1-Dec-2021.
  12. ACM
    Beery S, Cole E, Parker J, Perona P and Winner K Species Distribution Modeling for Machine Learning Practitioners: A Review Proceedings of the 4th ACM SIGCAS Conference on Computing and Sustainable Societies, (329-348)
  13. ACM
    Prechelt L On Implicit Assumptions Underlying Software Engineering Research Proceedings of the 25th International Conference on Evaluation and Assessment in Software Engineering, (336-339)
  14. Baran Á, Lerch S, El Ayari M and Baran S (2021). Machine learning for total cloud cover prediction, Neural Computing and Applications, 33:7, (2605-2620), Online publication date: 1-Apr-2021.
  15. Harel B, Parmet Y and Edan Y (2020). Maturity classification of sweet peppers using image datasets acquired in different times, Computers in Industry, 121:C, Online publication date: 1-Oct-2020.
  16. Hariri-Ardebili M and Salazar F (2019). Engaging soft computing in material and modeling uncertainty quantification of dam engineering problems, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 24:15, (11583-11604), Online publication date: 1-Aug-2020.
  17. Jabato F, Rojano E, Perkins J, Ranea J and Seoane-Zonjic P Kernel Based Approaches to Identify Hidden Connections in Gene Networks Using NetAnalyzer Bioinformatics and Biomedical Engineering, (763-774)
  18. ACM
    Jun E, Daum M, Roesch J, Chasins S, Berger E, Just R and Reinecke K Tea Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology, (591-603)
  19. Zhang Y and Trubey P (2018). Machine Learning and Sampling Scheme: An Empirical Study of Money Laundering Detection, Computational Economics, 54:3, (1043-1063), Online publication date: 1-Oct-2019.
  20. Baum T, Schneider K and Bacchelli A (2019). Associating working memory capacity and code change ordering with code review performance, Empirical Software Engineering, 24:4, (1762-1798), Online publication date: 1-Aug-2019.
  21. ACM
    Hagg A, Zaefferer M, Stork J and Gaier A Prediction of neural network performance by phenotypic modeling Proceedings of the Genetic and Evolutionary Computation Conference Companion, (1576-1582)
  22. Isikhan S, Karabulut E, Samadi A and Kılıçkap S (2020). Adaptation of Error Adjusted Bagging Method for Prediction, International Journal of Data Warehousing and Mining, 15:3, (28-45), Online publication date: 1-Jul-2019.
  23. Gallaugher M and McNicholas P (2019). On Fractionally-Supervised Classification: Weight Selection and Extension to the Multivariate t-Distribution, Journal of Classification, 36:2, (232-265), Online publication date: 1-Jul-2019.
  24. Baíllo A, Cárcamo J and Getman K (2019). New distance measures for classifying X-ray astronomy data into stellar classes, Advances in Data Analysis and Classification, 13:2, (531-557), Online publication date: 1-Jun-2019.
  25. Górecki T and Smaga Ł (2019). fdANOVA, Computational Statistics, 34:2, (571-597), Online publication date: 1-Jun-2019.
  26. ACM
    Budak C What happened? The Spread of Fake News Publisher Content During the 2016 U.S. Presidential Election The World Wide Web Conference, (139-150)
  27. ACM
    Aguirre-Urreta M and Hu J (2019). Detecting Common Method Bias, ACM SIGMIS Database: the DATABASE for Advances in Information Systems, 50:2, (45-70), Online publication date: 6-May-2019.
  28. ACM
    Caudle K, Pyeatt L, Morast A, Karlsson C and Hoover R Building a Better Decision Tree by Delaying the Split Decision Proceedings of the 2019 3rd International Conference on Compute and Data Analysis, (78-83)
  29. Biernacki C and Lourme A (2019). Unifying data units and models in (co-)clustering, Advances in Data Analysis and Classification, 13:1, (7-31), Online publication date: 1-Mar-2019.
  30. Terenin A, Dong S and Draper D (2019). GPU-accelerated Gibbs sampling, Statistics and Computing, 29:2, (301-310), Online publication date: 1-Mar-2019.
  31. García O (2019). Estimating reducible stochastic differential equations by conversion to a least-squares problem, Computational Statistics, 34:1, (23-46), Online publication date: 1-Mar-2019.
  32. Gu J, Fu F and Zhou Q (2019). Penalized estimation of directed acyclic graphs from discrete data, Statistics and Computing, 29:1, (161-176), Online publication date: 1-Jan-2019.
  33. ACM
    Ghenai A and Mejova Y (2018). Fake Cures, Proceedings of the ACM on Human-Computer Interaction, 2:CSCW, (1-20), Online publication date: 1-Nov-2018.
  34. ACM
    Port D and Taber B An empirical study of process policies and metrics to manage productivity and quality for maintenance of critical software systems at the jet propulsion laboratory Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, (1-10)
  35. Biernacki A (2018). Traffic prediction methods for quality improvement of adaptive video, Multimedia Systems, 24:5, (531-547), Online publication date: 1-Oct-2018.
  36. Villarino G, Gómez D, Rodríguez J and Montero J (2018). A bipolar knowledge representation model to improve supervised fuzzy classification algorithms, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 22:15, (5121-5146), Online publication date: 1-Aug-2018.
  37. ACM
    Blattgerste J, Renner P and Pfeiffer T Advantages of eye-gaze over head-gaze-based selection in virtual and augmented reality under varying field of views Proceedings of the Workshop on Communication by Gaze Interaction, (1-9)
  38. ACM
    Nerghes A, Kerkhof P and Hellsten I Early Public Responses to the Zika-Virus on YouTube Proceedings of the 10th ACM Conference on Web Science, (127-134)
  39. Crisci A, Grasso V, Nesi P, Pantaleo G, Paoli I and Zaza I (2018). Predicting TV programme audience by using twitter based metrics, Multimedia Tools and Applications, 77:10, (12203-12232), Online publication date: 1-May-2018.
  40. ACM
    Diaz M, Johnson I, Lazar A, Piper A and Gergle D Addressing Age-Related Bias in Sentiment Analysis Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, (1-14)
  41. Kindt R (2018). Ensemble species distribution modelling with transformed suitability values, Environmental Modelling & Software, 100:C, (136-145), Online publication date: 1-Feb-2018.
  42. Golinko E and Zhu X GFEL: Generalized Feature Embedding Learning Using Weighted Instance Matching 2017 IEEE International Conference on Information Reuse and Integration (IRI), (235-244)
  43. Hagenauer J and Helbich M (2017). A comparative study of machine learning classifiers for modeling travel mode choice, Expert Systems with Applications: An International Journal, 78:C, (273-282), Online publication date: 15-Jul-2017.
  44. Rahman A, Partho A, Meder D and Williams L Which factors influence practitioners' usage of build automation tools? Proceedings of the 3rd International Workshop on Rapid Continuous Software Engineering, (20-26)
  45. Biernacki A (2017). Analysis and modelling of traffic produced by adaptive HTTP-based video, Multimedia Tools and Applications, 76:10, (12347-12368), Online publication date: 1-May-2017.
  46. Kroenung J, Eckhardt A and Kuhlenkasper T (2017). Conflicting behavioral paradigms and predicting IS adoption and non-adoption The importance of group-based analysis, Computers in Human Behavior, 67:C, (10-22), Online publication date: 1-Feb-2017.
  47. Persson E, Hggstrm J, Waernbaum I and de Luna X (2017). Data-driven algorithms for dimension reduction in causal inference, Computational Statistics & Data Analysis, 105:C, (280-292), Online publication date: 1-Jan-2017.
  48. Lara-Rubio J, Blanco-Oliver A and Pino-Mejías R (2017). Promoting Entrepreneurship at the Base of the Social Pyramid via Pricing Systems, International Journal of Intelligent Systems in Accounting and Finance Management, 24:1, (12-28), Online publication date: 1-Jan-2017.
  49. Ameraoui A, Boukhetala K and Dupuy J (2016). Bayesian estimation of the tail index of a heavy tailed distribution under random censoring, Computational Statistics & Data Analysis, 104:C, (148-168), Online publication date: 1-Dec-2016.
  50. Pierola A, Epifanio I and Alemany S (2016). An ensemble of ordered logistic regression and random forest for child garment size matching, Computers and Industrial Engineering, 101:C, (455-465), Online publication date: 1-Nov-2016.
  51. Bernas M and Płaczek B (2016). Period-aware local modelling and data selection for time series prediction, Expert Systems with Applications: An International Journal, 59:C, (60-77), Online publication date: 15-Oct-2016.
  52. ACM
    Han Y and Kim Y A Method of Discovering Genre Similarity using Aspect Based Approach Proceedings of the International Conference on Research in Adaptive and Convergent Systems, (29-34)
  53. ACM
    Prosperi M, Pironti A, Incardona F, Tradigo G and Zazzi M Predicting human-immunodeficiency virus rebound after therapy initiation/switch using genetic, laboratory, and clinical data Proceedings of the 7th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, (611-615)
  54. ACM
    Zhou M, Ma M, Zhang Y, SuiA K, Pei D and Moscibroda T EDUM Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, (316-327)
  55. Sexton J, Everingham Y and Inman-Bamber G (2016). A theoretical and real world evaluation of two Bayesian techniques for the calibration of variety parameters in a sugarcane crop model, Environmental Modelling & Software, 83:C, (126-142), Online publication date: 1-Sep-2016.
  56. Nicholson C and Zhang W (2016). Optimal network flow, Computers and Industrial Engineering, 99:C, (260-268), Online publication date: 1-Sep-2016.
  57. ACM
    Eagle M, Corbett A, Stamper J, McLaren B, Baker R, Wagner A, MacLaren B and Mitchell A Predicting Individual Differences for Learner Modeling in Intelligent Tutors from Previous Learner Activities Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, (55-63)
  58. Shi Z, Alliez P, Desbrun M, Bao H and Huang J Symmetry and orbit detection via lie-algebra voting Proceedings of the Symposium on Geometry Processing, (217-227)
  59. Li J (2016). Assessing spatial predictive models in the environmental sciences, Environmental Modelling & Software, 80:C, (1-8), Online publication date: 1-Jun-2016.
  60. Low W, Wilson P and Thelwall M (2016). Stopped sum models and proposed variants for citation data, Scientometrics, 107:2, (369-384), Online publication date: 1-May-2016.
  61. Dümbgen L, Nordhausen K and Schuhmacher H (2016). New algorithms for M -estimation of multivariate scatter and location, Journal of Multivariate Analysis, 144:C, (200-217), Online publication date: 1-Feb-2016.
  62. Stupfler G (2016). Estimating the conditional extreme-value index under random right-censoring, Journal of Multivariate Analysis, 144:C, (1-24), Online publication date: 1-Feb-2016.
  63. Sendelbah A, Vehovar V, Slavec A and Petrovčič A (2016). Investigating respondent multitasking in web surveys using paradata, Computers in Human Behavior, 55:PB, (777-787), Online publication date: 1-Feb-2016.
  64. ACM
    Carterette B Bayesian Inference for Information Retrieval Evaluation Proceedings of the 2015 International Conference on The Theory of Information Retrieval, (31-40)
  65. ACM
    Berral J, Poggi N, Carrera D, Call A, Reinauer R and Green D ALOJA-ML Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (1701-1710)
  66. Görgens E, Montaghi A and Rodriguez L (2015). A performance comparison of machine learning methods to estimate the fast-growing forest plantation yield based on laser scanning metrics, Computers and Electronics in Agriculture, 116:C, (221-227), Online publication date: 1-Aug-2015.
  67. Wickham H, Cook D and Hofmann H (2015). Visualizing statistical models, Statistical Analysis and Data Mining, 8:4, (203-225), Online publication date: 1-Aug-2015.
  68. ACM
    Hagar D #vote4me Proceedings of the 2015 International Conference on Social Media & Society, (1-7)
  69. Theocharous G, Thomas P and Ghavamzadeh M Personalized ad recommendation systems for life-time value optimization with guarantees Proceedings of the 24th International Conference on Artificial Intelligence, (1806-1812)
  70. Ochando L, Julián C, Ochando F and Ferri C Airvlc Proceedings of the 2nd International Conference on Mining Urban Data - Volume 1392, (72-79)
  71. ACM
    Theocharous G, Thomas P and Ghavamzadeh M Ad Recommendation Systems for Life-Time Value Optimization Proceedings of the 24th International Conference on World Wide Web, (1305-1310)
  72. Theisen C, Herzig K, Morrison P, Murphy B and Williams L Approximating attack surfaces with stack traces Proceedings of the 37th International Conference on Software Engineering - Volume 2, (199-208)
  73. ACM
    Whigham P, Owen C and Macdonell S (2015). A Baseline Model for Software Effort Estimation, ACM Transactions on Software Engineering and Methodology, 24:3, (1-11), Online publication date: 13-May-2015.
  74. ACM
    Morrison P, Herzig K, Murphy B and Williams L Challenges with applying vulnerability prediction models Proceedings of the 2015 Symposium and Bootcamp on the Science of Security, (1-9)
  75. ACM
    Goldstein D, McAfee R and Suri S (2015). The cost of annoying ads, ACM SIGecom Exchanges, 13:2, (47-52), Online publication date: 28-Jan-2015.
  76. Noh J, Punithan D and Lee H Predicting the progression of IgA nephropathy using machine learning methods Proceedings of the 8th International Conference on Bioinspired Information and Communications Technologies, (328-335)
  77. Bogocz J, Bak A and Polanski J (2014). No free lunches in nature? An analysis of the regional distribution of the affiliations of Nature publications, Scientometrics, 101:1, (547-568), Online publication date: 1-Oct-2014.
  78. ACM
    Iclanzan D, Daolio F and Tomassini M Data-driven local optima network characterization of QAPLIB instances Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation, (453-460)
  79. Andrews J and Mcnicholas P (2014). Variable Selection for Clustering and Classification, Journal of Classification, 31:2, (136-153), Online publication date: 1-Jul-2014.
  80. Bouveyron C and Brunet-Saumard C (2014). Model-based clustering of high-dimensional data, Computational Statistics & Data Analysis, 71:C, (52-78), Online publication date: 1-Mar-2014.
  81. Eugster M, Leisch F and Strobl C (2014). (Psycho-)analysis of benchmark experiments, Computational Statistics & Data Analysis, 71:C, (986-1000), Online publication date: 1-Mar-2014.
  82. Yee T (2014). Reduced-rank vector generalized linear models with two linear predictors, Computational Statistics & Data Analysis, 71:C, (889-902), Online publication date: 1-Mar-2014.
  83. Ycart B, Pont F and Fournié J (2014). Curbing false discovery rates in interpretation of genome-wide expression profiles, Journal of Biomedical Informatics, 47:C, (58-61), Online publication date: 1-Feb-2014.
  84. Shi J, Cheng Y, Serradilla J, Morgan G, Lambden C, Ford G, Price C, Rodgers H, Cassidy T, Rochester L and Eyre J Evaluating Functional Ability of Upper Limbs after Stroke Using Video Game Data Proceedings of the International Conference on Brain and Health Informatics - Volume 8211, (181-192)
  85. ACM
    Kutzner S, Poschmann A and Stöttinger M Hardware trojan design and detection Proceedings of the Workshop on Embedded Systems Security, (1-9)
  86. Moreau P, Viaud V, Parnaudeau V, Salmon-Monviola J and Durand P (2013). An approach for global sensitivity analysis of a complex environmental model to spatial inputs and parameters, Environmental Modelling & Software, 47:C, (74-87), Online publication date: 1-Sep-2013.
  87. ACM
    Caridakis G, Moutselos K and Maglogiannis I Natural interaction expressivity modeling and analysis Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments, (1-6)
  88. ACM
    Goldstein D, McAfee R and Suri S The cost of annoying ads Proceedings of the 22nd international conference on World Wide Web, (459-470)
  89. ACM
    Meeuws R, Ostadzadeh S, Galuzzi C, Sima V, Nane R and Bertels K (2013). Quipu, ACM Transactions on Reconfigurable Technology and Systems, 6:1, (1-25), Online publication date: 1-May-2013.
  90. Hess S, Wagner T and Bischl B PROGRESS Revised Selected Papers of the 7th International Conference on Learning and Intelligent Optimization - Volume 7997, (110-124)
  91. León X and Navarro L (2013). A Stackelberg game to derive the limits of energy savings for the allocation of data center resources, Future Generation Computer Systems, 29:1, (74-83), Online publication date: 1-Jan-2013.
  92. ACM
    Weiss B, Wechsung I and Marquardt S Assessing ICT user groups Proceedings of the 7th Nordic Conference on Human-Computer Interaction: Making Sense Through Design, (275-283)
  93. Moreira-Matias L, Mendes-Moreira J, Gama J and Brazdil P Text categorization using an ensemble classifier based on a mean co-association matrix Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition, (525-539)
  94. Fiocco M, Stijnen T and Putter H (2012). Meta-analysis of time-to-event outcomes using a hazard-based approach, Computational Statistics & Data Analysis, 56:5, (1028-1037), Online publication date: 1-May-2012.
  95. Browne M (2012). Regularized tessellation density estimation with bootstrap aggregation and complexity penalization, Pattern Recognition, 45:4, (1531-1539), Online publication date: 1-Apr-2012.
  96. Bergmeir C, Triguero I, Velasco F and Benítez J Optimization of neuro-coefficient smooth transition autoregressive models using differential evolution Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I, (464-473)
  97. ACM
    Carterette B (2012). Multiple testing in statistical analysis of systems-based information retrieval experiments, ACM Transactions on Information Systems, 30:1, (1-34), Online publication date: 1-Feb-2012.
  98. Carterette B Model-based inference about IR systems Proceedings of the Third international conference on Advances in information retrieval theory, (101-112)
  99. Galmar B Using Kohonen maps of Chinese morphological families to visualize the interplay of morphology and semantics in Chinese ROCLING 2011 Poster Papers, (240-251)
  100. Genc Y, Sakamoto Y and Nickerson J Discovering context Proceedings of the 6th international conference on Foundations of augmented cognition: directing the future of adaptive systems, (484-492)
  101. Firouzi H and Najjaran H Detection and tracking of multiple similar objects based on color-pattern Proceedings of the Second international conference on Autonomous and intelligent systems, (273-283)
  102. Bassani N, Ambrogi F, Coradini D and Biganzoli E Use of biplots and partial least squares regression in microarray data analysis for assessing association between genes involved in different biological pathways Proceedings of the 7th international conference on Computational intelligence methods for bioinformatics and biostatistics, (123-134)
  103. Xue J and Titterington D (2010). Joint discriminative-generative modelling based on statistical tests for classification, Pattern Recognition Letters, 31:9, (1048-1055), Online publication date: 1-Jul-2010.
  104. Han J (2009). Initial classification of joint data in EM estimation of latent class joint model, Journal of Multivariate Analysis, 100:10, (2313-2323), Online publication date: 1-Nov-2009.
  105. Fassò A and Cameletti M (2009). The EM algorithm in a distributed computing environment for modelling environmental space-time data, Environmental Modelling & Software, 24:9, (1027-1035), Online publication date: 1-Sep-2009.
  106. Fernández-Menéndez J, López-Sánchez J, Rodríguez-Duarte A and Sandulli F (2009). Technical efficiency and use of information and communication technology in Spanish firms, Telecommunications Policy, 33:7, (348-359), Online publication date: 1-Aug-2009.
  107. Vassiliadis V and Rigas A (2009). A semi-parametric test based on a quasi-likelihood approach for comparing the estimated spectra of two neural spike trains, Neurocomputing, 72:13-15, (3212-3219), Online publication date: 1-Aug-2009.
  108. Comstock C, Jiang Z and Naudé P Risk analysis in software development Proceedings of the 8th conference on Applied informatics and communications, (35-40)
  109. Costa J, Almeida R, Infantosi A and Suassuna J (2008). A heuristic index for selecting similar categories in multiple correspondence analysis applied to living donor kidney transplantation, Computer Methods and Programs in Biomedicine, 90:3, (217-229), Online publication date: 1-Jun-2008.
  110. ACM
    Frery A, Ramos H, Alencar-Neto J and Nakamura E Error estimation in wireless sensor networks Proceedings of the 2008 ACM symposium on Applied computing, (1923-1928)
  111. ACM
    Carterette B and Smucker M Hypothesis testing with incomplete relevance judgments Proceedings of the sixteenth ACM conference on Conference on information and knowledge management, (643-652)
  112. Maggi F and Zanero S On the use of different statistical tests for alert correlation Proceedings of the 10th international conference on Recent advances in intrusion detection, (167-177)
  113. ACM
    Patel R, Plimmer B, Grundy J and Ihaka R Ink features for diagram recognition Proceedings of the 4th Eurographics workshop on Sketch-based interfaces and modeling, (131-138)
  114. ACM
    Olsson J and Oard D Improving text classification for oral history archives with temporal domain knowledge Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, (623-630)
  115. Berger P and Savoy J Selecting automatically the best query translations Large Scale Semantic Access to Content (Text, Image, Video, and Sound), (287-300)
  116. ACM
    Hu J, Tian B, Fritz D and Rogers M Using emerging genome data to identify conserved bone morphogenetic protein (Bmp) 2 gene expression mechanisms Proceedings of the 1st international workshop on Text mining in bioinformatics, (15-20)
  117. Cuevas A, Febrero M and Fraiman R (2006). On the use of the bootstrap for estimating functions with functional data, Computational Statistics & Data Analysis, 51:2, (1063-1074), Online publication date: 1-Nov-2006.
  118. ACM
    Li P, Hastie T and Church K Very sparse random projections Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining, (287-296)
  119. ACM
    Pearson R (2006). The problem of disguised missing data, ACM SIGKDD Explorations Newsletter, 8:1, (83-92), Online publication date: 1-Jun-2006.
  120. ACM
    Pastel R Measuring the difficulty of steering through corners Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, (1087-1096)
  121. Li P and Church K Using sketches to estimate associations Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing, (708-715)
  122. Liu Y and Gorton I Accuracy of performance prediction for EJB applications Proceedings of the 4th international conference on Software Engineering and Middleware, (185-198)
  123. Toscas P and Faddy M (2004). Using Fisher Scoring to Fit Extended Poisson Process Models, Computational Statistics, 19:3, (425-443), Online publication date: 1-Sep-2004.
  124. Fürnkranz J From local to global patterns Proceedings of the 2004 international conference on Local Pattern Detection, (20-38)
  125. ACM
    Bolton R and Adams N An iterative hypothesis-testing strategy for pattern discovery Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining, (49-58)
  126. Huettmann F and Linke J Assessment of different link functions for modeling binary data to derive sound inferences and predictions Proceedings of the 2003 international conference on Computational science and its applications: PartIII, (43-48)
  127. Savoy J (2003). Cross-language information retrieval, Information Processing and Management: an International Journal, 39:1, (75-115), Online publication date: 1-Jan-2003.
  128. Chipman H, George E and McCulloch R (2002). Bayesian Treed Models, Machine Language, 48:1-3, (299-320), Online publication date: 30-Sep-2002.
Contributors
  • University of Strathclyde

Recommendations