Lin Liu

Mikio Aoyama

This book constitutes the proceedings of the second Asia Pacific Requirements Engineering Symposium, APRES 2015, held in Wuhan, China, in October 2015. The 9 full papers presented together with 3 tool demos papers and one short paper, were carefully reviewed and selected from 18 submissions. The papers deal with various aspects of requirements engineering in the big data era, such as automated requirements analysis, requirements acquisition via crowdsourcing, requirement processes and specifications, requirements engineering tools.requirements engineering in the big data era, such as automated requirements analysis, requirements acquisition via crowdsourcing, requirement processes and specifications, requirements engineering tools.

Second Asia Pacific Symposium, APRES 2015, Wuhan, China, October 18–20, 2015, Proceedings

Requirements Engineering in the Big Data Era

Wenbing Zhao

Paulo Batista

BDEIM 2022 created an academic platform for academic communication and scientific innovation, brought together experts, scholars, and scientists in the fields of big data economy and information management from all over the world to present their research results and to exchange information, promoted the industrial cooperation of academic achievements, and facilitated the collaboration in the future among all the participants. The scope of the conference covered all areas of research in big data economy and information management, including Big Data Mining, Economic Statistics under Big Data, Sensor Network and Internet of Things, Computer Science and Internet, Network and Information Security, Database Technology, etc. The conference brought together about 150 participants, primarily from China, but also from USA, France, Portugal, and other countries. This volume contains the papers presented at the 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022), held during December 2nd-3rd, 2023 in Zhengzhou, China.

Proceedings of the 3rd International Conference on Big Data Economy and Information Management, BDEIM 2022, December 2-3, 2022, Zhengzhou, China

BDEIM 2022

The 2016 International Conference on Automotive Engineering, Mechanical and Electrical Engineering (AEMEE 2016) was held December 9-11, 2016 in Hong Kong, China. AEMEE 2016 was a platform for presenting excellent results and new challenges facing the fields of automotive, mechanical and electrical engineering. Automotive, Mechanical and Electrical Engineering brings together a wide range of contributions from industry and governmental experts and academics, experienced in engineering, design and research. Papers have been categorized under the following headings: Automotive Engineering and Rail Transit Engineering. Mechanical, Manufacturing, Process Engineering. Network, Communications and Applied Information Technologies. Technologies in Energy and Power, Cell, Engines, Generators, Electric Vehicles. System Test and Diagnosis, Monitoring and Identification, Video and Image Processing. Applied and Computational Mathematics, Methods, Algorithms and Optimization. Technologies in Electrical and Electronic, Control and Automation. Industrial Production, Manufacturing, Management and Logistics.

Proceedings of the 2016 International Conference on Automotive Engineering, Mechanical and Electrical Engineering (AEMEE 2016), Hong Kong, China, December 9-11, 2016

Automotive, Mechanical and Electrical Engineering

Timos Sellis

Oscar Pastor

Robert Meersman

Tharam Dillon

Herve Panetto

Alfredo Cuzzocrea

Michele Missikoff

This volume constitutes the refereed proceedings of the Confederated International Conferences: Cooperative Information Systems, CoopIS 2014, and Ontologies, Databases, and Applications of Semantics, ODBASE 2014, held as part of OTM 2014 in October 2014 in Amantea, Italy. The 39 full papers presented together with 12 short papers and 5 keynotes were carefully reviewed and selected from a total of 115 submissions. The OTM program covers subjects as follows: process designing and modeling, process enactment, monitoring and quality assessment, managing similarity, software services, improving alignment, collaboration systems and applications, ontology querying methodologies and paradigms, ontology support for web, XML, and RDF data processing and retrieval, knowledge bases querying and retrieval, social network and collaborative methodologies, ontology-assisted event and stream processing, ontology-assisted warehousing approaches, ontology-based data representation, and management in emerging domains.

Confederated International Conferences: CoopIS and ODBASE 2014, Amantea, Italy, October 27-31, 2014. Proceedings

On the Move to Meaningful Internet Systems: OTM 2014 Conferences

Jiuyong Li

Thuc Duy Le

This brief presents four practical methods to effectively explore causal relationships, which are often used for explanation, prediction and decision making in medicine, epidemiology, biology, economics, physics and social sciences. The first two methods apply conditional independence tests for causal discovery. The last two methods employ association rule mining for efficient causal hypothesis generation, and a partial association test and retrospective cohort study for validating the hypotheses. All four methods are innovative and effective in identifying potential causal relationships around a given target, and each has its own strength and weakness. For each method, a software tool is provided along with examples demonstrating its use. Practical Approaches to Causal Relationship Exploration is designed for researchers and practitioners working in the areas of artificial intelligence, machine learning, data mining, and biomedical research. The material also benefits advanced students interested in causal relationship discovery.

Practical Approaches to Causal Relationship Exploration

Yanchang Zhao

Graham Williams

Thuc D. Le

Kok-Leong Ong

Warren H. Jin

Sebastien Wong

This book constitutes the refereed proceedings of the 17th Australasian Conference on Data Mining, AusDM 2019, held in Adelaide, SA, Australia, in December 2019. The 20 revised full papers presented were carefully reviewed and selected from 56 submissions. The papers are organized in sections on research track, application track, and industry showcase.

17th Australasian Conference, AusDM 2019, Adelaide, SA, Australia, December 2–5, 2019, Proceedings

Data Mining

Lin Liu

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