ENGLISH

Information Search, Integration, and Personalization: 12th International Workshop, ISIP 2018, Fukuoka, Japan, May 14–15, 2018, Revised Selected Papers

Book information

Publisher
Springer International Publishing
Year
2019
ISBN
978-3-030-30283-2, 978-3-030-30284-9
Language
english
Format
PDF
Filesize
9 MB (8991490 bytes)
Series
Communications in Computer and Information Science 1040
Edition
1st ed. 2019
Pages
XV, 135\144
Time added
2020-02-08 04:41:50

Description

This book constitutes the revised selected papers of the 12th International Workshop on Information Search, Integration and Personalization, ISIP 2018, held in Fukuoka, Japan, in May 2018. The volume presents 1 invited paper as well as 7 revised full papers, which were carefully reviewed and selected from 13 papers submitted to these post-conference proceedings. The papers are organized in topical sections on data integration; text and document management; advanced data mining techniques. Front Matter ....Pages i-xv Front Matter ....Pages 1-1 Approximate Integration of Streaming Data (Michel De Rougemont, Guillaume Vimont)....Pages 3-22 Big Research Data Integration (Valentina Bartalesi, Carlo Meghini, Costantino Thanos)....Pages 23-37 Front Matter ....Pages 39-39 Construction of an In-House Paper/Figure Database System Using Portable Document Format Files (Masaharu Yoshioka, Shinjiro Hara)....Pages 41-52 A Domain-Independent Ontology for Capturing Scientific Experiments (Zakariae Aloulen, Khalid Belhajjame, Daniela Grigori, Renaud Acker)....Pages 53-68 Email Business Activities Extraction and Annotation (Diana Jlailaty, Daniela Grigori, Khalid Belhajjame)....Pages 69-86 Front Matter ....Pages 87-87 Effective Pre-processing of Genetic Programming for Solving Symbolic Regression in Equation Extraction (Issei Koga, Kenji Ono)....Pages 89-103 Toward FPGA-Based Semantic Caching for Accelerating Data Analysis with Spark and HDFS (Marouan Maghzaoui, Laurent d’Orazio, Julien Lallet)....Pages 104-115 A First Experimental Study on Functional Dependencies for Imbalanced Datasets Classification (Marie Le Guilly, Jean-Marc Petit, Marian Scuturici)....Pages 116-133 Back Matter ....Pages 135-135

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