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Machine Learning And Data Mining In Pattern Recognition

Machine Learning and Data Mining in Pattern Recognition PDF
Author: Petra Perner
Publisher: Springer
Release: 2018-08-19
Size: 72.63 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : un
Pages : 485
View: 4364

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This two-volume set LNAI 10934 and LNAI 10935 constitutes the refereed proceedings of the 14th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2018, held in New York, NY, USA in July 2018. The 92 regular papers presented in this two-volume set were carefully reviewed and selected from 298 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multi-media data types such as image mining, text mining, video mining, and Web mining.

Machine Learning And Data Mining In Pattern Recognition

Machine Learning and Data Mining in Pattern Recognition PDF
Author: Petra Perner
Publisher: Springer Science & Business Media
Release: 2011-08-12
Size: 25.52 MB
Format: PDF, Kindle
Category : Computers
Languages : un
Pages : 614
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This book constitutes the refereed proceedings of the 7th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2011, held in New York, NY, USA. The 44 revised full papers presented were carefully reviewed and selected from 170 submissions. The papers are organized in topical sections on classification and decision theory, theory of learning, clustering, application in medicine, webmining and information mining; and machine learning and image mining.

Machine Learning And Data Mining In Pattern Recognition

Machine Learning and Data Mining in Pattern Recognition PDF
Author: Petra Perner
Publisher: Springer
Release: 2014-07-17
Size: 45.45 MB
Format: PDF, Kindle
Category : Computers
Languages : un
Pages : 536
View: 2508

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This book constitutes the refereed proceedings of the 10th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2014, held in St. Petersburg, Russia in July 2014. The 40 full papers presented were carefully reviewed and selected from 128 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining.

Machine Learning And Data Mining In Pattern Recognition

Machine Learning and Data Mining in Pattern Recognition PDF
Author: Petra Perner
Publisher: Springer
Release: 2003-08-02
Size: 54.91 MB
Format: PDF, Mobi
Category : Computers
Languages : un
Pages : 444
View: 4015

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TheInternationalConferenceonMachineLearningandDataMining(MLDM)is the third meeting in a series of biennial events, which started in 1999, organized by the Institute of Computer Vision and Applied Computer Sciences (IBaI) in Leipzig. MLDM began as a workshop and is now a conference, and has brought the topic of machine learning and data mining to the attention of the research community. Seventy-?ve papers were submitted to the conference this year. The program committeeworkedhardtoselectthemostprogressiveresearchinafairandc- petent review process which led to the acceptance of 33 papers for presentation at the conference. The 33 papers in these proceedings cover a wide variety of topics related to machine learning and data mining. The two invited talks deal with learning in case-based reasoning and with mining for structural data. The contributed papers can be grouped into nine areas: support vector machines; pattern dis- very; decision trees; clustering; classi?cation and retrieval; case-based reasoning; Bayesian models and methods; association rules; and applications. We would like to express our appreciation to the reviewers for their precise andhighlyprofessionalwork.WearegratefultotheGermanScienceFoundation for its support of the Eastern European researchers. We appreciate the help and understanding of the editorial sta? at Springer Verlag, and in particular Alfred Hofmann,whosupportedthepublicationoftheseproceedingsintheLNAIseries. Last, but not least, we wish to thank all the speakers and participants who contributed to the success of the conference.

Machine Learning And Data Mining In Pattern Recognition

Machine Learning and Data Mining in Pattern Recognition PDF
Author: Petra Perner
Publisher: Springer
Release: 2016-06-28
Size: 56.87 MB
Format: PDF, Mobi
Category : Computers
Languages : un
Pages : 807
View: 2032

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This book constitutes the refereed proceedings of the 12th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2016, held in New York, NY, USA in July 2016. The 58 regular papers presented in this book were carefully reviewed and selected from 169 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining.

Machine Learning And Data Mining In Pattern Recognition

Machine Learning and Data Mining in Pattern Recognition PDF
Author: Petra Perner
Publisher: Springer
Release: 2012-07-07
Size: 62.29 MB
Format: PDF, Mobi
Category : Computers
Languages : un
Pages : 680
View: 2998

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This book constitutes the refereed proceedings of the 8th International Conference, MLDM 2012, held in Berlin, Germany in July 2012. The 51 revised full papers presented were carefully reviewed and selected from 212 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and web mining.

Machine Learning And Data Mining In Pattern Recognition

Machine Learning and Data Mining in Pattern Recognition PDF
Author: Petra Perner
Publisher: Springer
Release: 2013-07-09
Size: 59.96 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : un
Pages : 660
View: 240

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This book constitutes the refereed proceedings of the 9th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2013, held in New York, USA in July 2013. The 51 revised full papers presented were carefully reviewed and selected from 212 submissions. The papers cover the topics ranging from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and web mining.

Machine Learning And Data Mining In Pattern Recognition

Machine Learning and Data Mining in Pattern Recognition PDF
Author: Petra Perner
Publisher: Springer
Release: 2005-08-25
Size: 18.48 MB
Format: PDF, Kindle
Category : Computers
Languages : un
Pages : 698
View: 6644

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We met again in front of the statue of Gottfried Wilhelm von Leibniz in the city of Leipzig. Leibniz, a famous son of Leipzig, planned automatic logical inference using symbolic computation, aimed to collate all human knowledge. Today, artificial intelligence deals with large amounts of data and knowledge and finds new information using machine learning and data mining. Machine learning and data mining are irreplaceable subjects and tools for the theory of pattern recognition and in applications of pattern recognition such as bioinformatics and data retrieval. This was the fourth edition of MLDM in Pattern Recognition which is the main event of Technical Committee 17 of the International Association for Pattern Recognition; it started out as a workshop and continued as a conference in 2003. Today, there are many international meetings which are titled “machine learning” and “data mining”, whose topics are text mining, knowledge discovery, and applications. This meeting from the first focused on aspects of machine learning and data mining in pattern recognition problems. We planned to reorganize classical and well-established pattern recognition paradigms from the viewpoints of machine learning and data mining. Though it was a challenging program in the late 1990s, the idea has inspired new starting points in pattern recognition and effects in other areas such as cognitive computer vision.

Machine Learning And Data Mining In Pattern Recognition

Machine Learning and Data Mining in Pattern Recognition PDF
Author: Petra Perner
Publisher: Springer
Release: 2007-08-28
Size: 66.56 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : un
Pages : 916
View: 6507

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Ever wondered what the state of the art is in machine learning and data mining? Well, now you can find out. This book constitutes the refereed proceedings of the 5th International Conference on Machine Learning and Data Mining in Pattern Recognition, held in Leipzig, Germany, in July 2007. The 66 revised full papers presented together with 1 invited talk were carefully reviewed and selected from more than 250 submissions. The papers are organized in topical sections.

Machine Learning And Data Mining In Pattern Recognition

Machine Learning and Data Mining in Pattern Recognition PDF
Author: Petra Perner
Publisher: Springer
Release: 2009-07-10
Size: 46.68 MB
Format: PDF, ePub
Category : Computers
Languages : un
Pages : 824
View: 1176

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There is no royal road to science, and only those who do not dread the fatiguing climb of its steep paths have a chance of gaining its luminous summits. Karl Marx A Universial Genius of the 19th Century Many scientists from all over the world during the past two years since the MLDM 2007 have come along on the stony way to the sunny summit of science and have worked hard on new ideas and applications in the area of data mining in pattern r- ognition. Our thanks go to all those who took part in this year's MLDM. We appre- ate their submissions and the ideas shared with the Program Committee. We received over 205 submissions from all over the world to the International Conference on - chine Learning and Data Mining, MLDM 2009. The Program Committee carefully selected the best papers for this year’s program and gave detailed comments on each submitted paper. There were 63 papers selected for oral presentation and 17 papers for poster presentation. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data-mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining. Among these topics this year were special contributions to subtopics such as attribute discre- zation and data preparation, novelty and outlier detection, and distances and simila- ties.