Welcome to our book review site go-pdf.online!

You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.

Sign up

Foundations of Intelligent Systems
  • Language: en
  • Pages: 473

Foundations of Intelligent Systems

  • Type: Book
  • -
  • Published: 2018-10-22
  • -
  • Publisher: Springer

This book constitutes the proceedings of the 24th International Symposium on Foundations of Intelligent Systems, ISMIS 2018, held in Limassol, Cyprus, in October 2018. The 32 full, 8 short, and 4 application papers presented in this volume were carefully reviewed and selected from 59 submissions. The papers deal with topics such as bioinformatics and health informatics, graph mining, image analysis, intelligent systems, mining complex patterns, novelty detection and class imbalance, social data analysis, spatio-temporal analysis, and topic modeling and opinion mining. In addition, three special sessions were organized, namely: Special Session on Granular and Soft Clustering for Data Science, Special Session on Intelligent Methodologies for Traffic Data Analysis and Mining, and Special Session on Advanced Methods in Machine Learning for Modeling Complex Data.

Current Catalog
  • Language: en
  • Pages: 1174

Current Catalog

  • Type: Book
  • -
  • Published: 1982
  • -
  • Publisher: Unknown

First multi-year cumulation covers six years: 1965-70.

Discovery Science
  • Language: en
  • Pages: 576

Discovery Science

This book constitutes the proceedings of the 25th International Conference on Discovery Science, DS 2022, which took place virtually during October 10-12, 2022. The 27 full papers and 12 short papers presented in this volume were carefully reviewed and selected from 59 submissions.

Learning Structure and Schemas from Documents
  • Language: en
  • Pages: 449

Learning Structure and Schemas from Documents

The rapidly growing volume of available digital documents of various formats and the possibility to access these through Internet-based technologies, have led to the necessity to develop solid methods to properly organize and structure documents in large digital libraries and repositories. Due to the extremely large volumes of documents and to their unstructured form, most of the research efforts in this direction are dedicated to automatically infer structure and schemas that can help to better organize huge collections of documents and data. This book covers the latest advances in structure inference in heterogeneous collections of documents and data. The book brings a comprehensive view o...

Lloyd's Register Sail Numbers of Racing Yachts of the National and International Classes 1967
  • Language: en
  • Pages: 190

Lloyd's Register Sail Numbers of Racing Yachts of the National and International Classes 1967

The Lloyd’s Register of Yachts was first issued in 1878, and was issued annually until 1980, except during the years 1916-18 and 1940-46. Two supplements containing additions and corrections were also issued annually. The Register contains the names, details and characters of Yachts classed by the Society, together with the particulars of other Yachts which are considered to be of interest, illustrates plates of the Flags of Yacht and Sailing Clubs, together with a List of Club Officers, an illustrated List of the Distinguishing Flags of Yachtsmen, a List of the Names and Addresses of Yacht Owners, and much other information. For more information on the Lloyd’s Register of Yachts, please click here: https://hec.lrfoundation.org.uk/archive-library/lloyds-register-of-yachts-online

Personal Analytics and Privacy. An Individual and Collective Perspective
  • Language: en
  • Pages: 176

Personal Analytics and Privacy. An Individual and Collective Perspective

  • Type: Book
  • -
  • Published: 2017-12-04
  • -
  • Publisher: Springer

This book constitutes the thoroughly refereed post-conference proceedings of the First International Workshop on Personal Analytics and Privacy, PAP 2017, held in Skopje, Macedonia, in September 2017. The 14 papers presented together with 2 invited talks in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as personal analytics, personal data mining and privacy in the context where real individual data are used for developing a data-driven service, for realizing a social study aimed at understanding nowadays society, and for publication purposes.

Proceedings of the Fifth SIAM International Conference on Data Mining
  • Language: en
  • Pages: 670

Proceedings of the Fifth SIAM International Conference on Data Mining

  • Type: Book
  • -
  • Published: 2005-04-01
  • -
  • Publisher: SIAM

The Fifth SIAM International Conference on Data Mining continues the tradition of providing an open forum for the presentation and discussion of innovative algorithms as well as novel applications of data mining. Advances in information technology and data collection methods have led to the availability of large data sets in commercial enterprises and in a wide variety of scientific and engineering disciplines. The field of data mining draws upon extensive work in areas such as statistics, machine learning, pattern recognition, databases, and high performance computing to discover interesting and previously unknown information in data. This conference results in data mining, including applications, algorithms, software, and systems.

Machine Learning and Knowledge Discovery in Databases, Part II
  • Language: en
  • Pages: 702

Machine Learning and Knowledge Discovery in Databases, Part II

This three-volume set LNAI 6911, LNAI 6912, and LNAI 6913 constitutes the refereed proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2011, held in Athens, Greece, in September 2011. The 121 revised full papers presented together with 10 invited talks and 11 demos in the three volumes, were carefully reviewed and selected from about 600 paper submissions. The papers address all areas related to machine learning and knowledge discovery in databases as well as other innovative application domains such as supervised and unsupervised learning with some innovative contributions in fundamental issues; dimensionality reduction, distance and similarity learning, model learning and matrix/tensor analysis; graph mining, graphical models, hidden markov models, kernel methods, active and ensemble learning, semi-supervised and transductive learning, mining sparse representations, model learning, inductive logic programming, and statistical learning. a significant part of the papers covers novel and timely applications of data mining and machine learning in industrial domains.

Machine Learning: ECML 2004
  • Language: en
  • Pages: 597

Machine Learning: ECML 2004

  • Type: Book
  • -
  • Published: 2004-11-05
  • -
  • Publisher: Springer

The proceedings of ECML/PKDD 2004 are published in two separate, albeit - tertwined,volumes:theProceedingsofthe 15thEuropeanConferenceonMac- ne Learning (LNAI 3201) and the Proceedings of the 8th European Conferences on Principles and Practice of Knowledge Discovery in Databases (LNAI 3202). The two conferences were co-located in Pisa, Tuscany, Italy during September 20–24, 2004. It was the fourth time in a row that ECML and PKDD were co-located. - ter the successful co-locations in Freiburg (2001), Helsinki (2002), and Cavtat- Dubrovnik (2003), it became clear that researchersstrongly supported the or- nization of a major scienti?c event about machine learning and data mining in Europe. W...

Machine Learning and Knowledge Discovery in Databases: Research Track
  • Language: en
  • Pages: 506

Machine Learning and Knowledge Discovery in Databases: Research Track

The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023. The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows: Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering. Part II: ​Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models;...