Discovering patterns in a survey of secondary injuries due to agricultural assistive technology

vii CHAPTER

[1]  J. Ross Quinlan,et al.  C4.5: Programs for Machine Learning , 1992 .

[2]  Anil K. Jain,et al.  Data clustering: a review , 1999, CSUR.

[3]  Imad Abugessaisa,et al.  Knowledge Discovery in Road Accidents Database Integration of Visual and Automatic Data Mining Methods , 2008 .

[4]  C. Brodley,et al.  Decision tree classification of land cover from remotely sensed data , 1997 .

[5]  Therese M Willkomm,et al.  Secondary Injuries Experienced By Farmers Using a Wheelchair or a Prothetic Device , 2008 .

[6]  Stan Matwin,et al.  Machine Learning for the Detection of Oil Spills in Satellite Radar Images , 1998, Machine Learning.

[7]  Nathalie Japkowicz,et al.  A Novelty Detection Approach to Classification , 1995, IJCAI.

[8]  Martin Atzmüller,et al.  Subgroup discovery , 2005, Künstliche Intell..

[9]  Gregory Piatetsky-Shapiro,et al.  Advances in Knowledge Discovery and Data Mining , 2004, Lecture Notes in Computer Science.

[10]  M. Brown,et al.  Five years of work-related injuries and fatalities in Minnesota. Agriculture: a high-risk industry. , 1997, Minnesota medicine.

[11]  Jianping Zhang,et al.  Learning rules from highly unbalanced data sets , 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).

[12]  Ian H. Witten,et al.  Weka: Practical machine learning tools and techniques with Java implementations , 1999 .

[13]  Padhraic Smyth,et al.  From Data Mining to Knowledge Discovery in Databases , 1996, AI Mag..

[14]  Blaz Zupan,et al.  Orange: From Experimental Machine Learning to Interactive Data Mining , 2004, PKDD.

[15]  Branko Kavsek,et al.  APRIORI-SD: ADAPTING ASSOCIATION RULE LEARNING TO SUBGROUP DISCOVERY , 2006, IDA.

[16]  Nada Lavrac,et al.  Induction of comprehensible models for gene expression datasets by subgroup discovery methodology , 2004, J. Biomed. Informatics.

[17]  M. Maloof Learning When Data Sets are Imbalanced and When Costs are Unequal and Unknown , 2003 .

[18]  Taeho Jo,et al.  A Multiple Resampling Method for Learning from Imbalanced Data Sets , 2004, Comput. Intell..

[19]  Andrew W. Moore,et al.  Monitoring Food Safety by Detecting Patterns in Consumer Complaints , 2006, AAAI.

[20]  Leo Breiman,et al.  Classification and Regression Trees , 1984 .

[21]  Willi Klösgen,et al.  Explora: A Multipattern and Multistrategy Discovery Assistant , 1996, Advances in Knowledge Discovery and Data Mining.

[22]  Evangelos E. Milios,et al.  Using Unsupervised Learning to Guide Resampling in Imbalanced Data Sets , 2001, AISTATS.

[23]  Padraig Cunningham,et al.  The problem of bias in training data in regression problems in medical decision support , 2002, Artif. Intell. Medicine.

[24]  Philip S. Yu,et al.  Data Mining: An Overview from a Database Perspective , 1996, IEEE Trans. Knowl. Data Eng..

[25]  Tom Fawcett,et al.  Adaptive Fraud Detection , 1997, Data Mining and Knowledge Discovery.

[26]  Peter A. Flach,et al.  Decision Support Through Subgroup Discovery: Three Case Studies and the Lessons Learned , 2004, Machine Learning.

[27]  Stefan Wrobel,et al.  An Algorithm for Multi-relational Discovery of Subgroups , 1997, PKDD.

[28]  Dimitris Kanellopoulos,et al.  Handling imbalanced datasets: A review , 2006 .

[29]  Jiawei Han,et al.  Data Mining: Concepts and Techniques , 2000 .

[30]  Deborah B. Reed,et al.  Returning to Farming after Upper-extremity Loss: What the Farmers Say , 1998 .

[31]  Aiko M. Hormann,et al.  Programs for Machine Learning. Part I , 1962, Inf. Control..

[32]  Ian H. Witten,et al.  Data mining: practical machine learning tools and techniques, 3rd Edition , 1999 .

[33]  Surajit Chaudhuri,et al.  Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 15-18, 1999 , 1999, KDD.

[34]  J P Leigh,et al.  Costs of Occupational Injuries in Agriculture , 2001, Public health reports.

[35]  Xiaonan Li,et al.  Discovering Dispatching Rules Using Data Mining , 2005, J. Sched..

[36]  Nada Lavrac,et al.  Expert-Guided Subgroup Discovery: Methodology and Application , 2011, J. Artif. Intell. Res..

[37]  Stefan Wrobel,et al.  Inductive Logic Programming for Knowledge Discovery in Databases , 2001 .

[38]  S C Mariger,et al.  Nonfatal injury rates of Utah agricultural producers. , 2004, Journal of agricultural safety and health.

[39]  Yang Wang,et al.  Cost-sensitive boosting for classification of imbalanced data , 2007, Pattern Recognit..

[40]  Claire Cardie,et al.  Improving Minority Class Prediction Using Case-Specific Feature Weights , 1997, ICML.

[41]  Wei-Pang Yang,et al.  An approach to mining the multi-relational imbalanced database , 2008, Expert Syst. Appl..

[42]  Herna L. Viktor,et al.  Learning from imbalanced data sets with boosting and data generation: the DataBoost-IM approach , 2004, SKDD.

[43]  J M Hardin,et al.  TRAFFIC SAFETY ANALYSIS: A DATA MINING APPROACH , 2003 .

[44]  Peter A. Flach,et al.  Subgroup Discovery with CN2-SD , 2004, J. Mach. Learn. Res..

[45]  Yoav Freund,et al.  The Alternating Decision Tree Learning Algorithm , 1999, ICML.

[46]  Earl Harris Recent Experiences with Data Mining in Aviation Safety , 1999 .

[47]  Stephanie J. Reisinger,et al.  Using Data Mining to Predict Safety Actions from FDA Adverse Event Reporting System Data , 2007 .

[48]  Peter Clark,et al.  The CN2 induction algorithm , 2004, Machine Learning.

[49]  D. Kell,et al.  Here is the evidence, now what is the hypothesis? The complementary roles of inductive and hypothesis-driven science in the post-genomic era. , 2004, BioEssays : news and reviews in molecular, cellular and developmental biology.

[50]  Pedro M. Domingos MetaCost: a general method for making classifiers cost-sensitive , 1999, KDD '99.

[51]  Samuel Narinchil Mathew An assessment process to estimate the secondary injury potential of assistive technology adopted by farmers with disabilities , 2009 .