Proceedings Of The International Conference On Data Engineering 2015 Daeng 2015

Author : Jemal H. Abawajy,Mohamed Othman,Rozaida Ghazali,Mustafa Mat Deris,Hairulnizam Mahdin,Tutut Herawan
Publisher : Springer
Page : 646 pages
File Size : 53,6 Mb
Release : 2019-08-09
Category : Technology & Engineering
ISBN : 9789811317996

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Proceedings of the International Conference on Data Engineering 2015 (DaEng-2015) by Jemal H. Abawajy,Mohamed Othman,Rozaida Ghazali,Mustafa Mat Deris,Hairulnizam Mahdin,Tutut Herawan Pdf

These proceedings gather outstanding research papers presented at the Second International Conference on Data Engineering 2015 (DaEng-2015) and offer a consolidated overview of the latest developments in databases, information retrieval, data mining and knowledge management. The conference brought together researchers and practitioners from academia and industry to address key challenges in these fields, discuss advanced data engineering concepts and form new collaborations. The topics covered include but are not limited to: • Data engineering • Big data • Data and knowledge visualization • Data management • Data mining and warehousing • Data privacy & security • Database theory • Heterogeneous databases • Knowledge discovery in databases • Mobile, grid and cloud computing • Knowledge management • Parallel and distributed data • Temporal data • Web data, services and information engineering • Decision support systems • E-Business engineering and management • E-commerce and e-learning • Geographical information systems • Information management • Information quality and strategy • Information retrieval, integration and visualization • Information security • Information systems and technologies

Author : R. Uday Kiran,Philippe Fournier-Viger,Jose M. Luna,Jerry Chun-Wei Lin,Anirban Mondal
Publisher : Springer Nature
Page : 263 pages
File Size : 54,6 Mb
Release : 2021-10-29
Category : Computers
ISBN : 9789811639647

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Periodic Pattern Mining by R. Uday Kiran,Philippe Fournier-Viger,Jose M. Luna,Jerry Chun-Wei Lin,Anirban Mondal Pdf

This book provides an introduction to the field of periodic pattern mining, reviews state-of-the-art techniques, discusses recent advances, and reviews open-source software. Periodic pattern mining is a popular and emerging research area in the field of data mining. It involves discovering all regularly occurring patterns in temporal databases. One of the major applications of periodic pattern mining is the analysis of customer transaction databases to discover sets of items that have been regularly purchased by customers. Discovering such patterns has several implications for understanding the behavior of customers. Since the first work on periodic pattern mining, numerous studies have been published and great advances have been made in this field. The book consists of three main parts: introduction, algorithms, and applications. The first chapter is an introduction to pattern mining and periodic pattern mining. The concepts of periodicity, periodic support, search space exploration techniques, and pruning strategies are discussed. The main types of algorithms are also presented such as periodic-frequent pattern growth, partial periodic pattern-growth, and periodic high-utility itemset mining algorithm. Challenges and research opportunities are reviewed. The chapters that follow present state-of-the-art techniques for discovering periodic patterns in (1) transactional databases, (2) temporal databases, (3) quantitative temporal databases, and (4) big data. Then, the theory on concise representations of periodic patterns is presented, as well as hiding sensitive information using privacy-preserving data mining techniques. The book concludes with several applications of periodic pattern mining, including applications in air pollution data analytics, accident data analytics, and traffic congestion analytics.

Author : Giuseppe Nicosia,Varun Ojha,Emanuele La Malfa,Giorgio Jansen,Vincenzo Sciacca,Panos Pardalos,Giovanni Giuffrida,Renato Umeton
Publisher : Springer Nature
Page : 740 pages
File Size : 51,7 Mb
Release : 2021-01-07
Category : Computers
ISBN : 9783030645830

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Machine Learning, Optimization, and Data Science by Giuseppe Nicosia,Varun Ojha,Emanuele La Malfa,Giorgio Jansen,Vincenzo Sciacca,Panos Pardalos,Giovanni Giuffrida,Renato Umeton Pdf

This two-volume set, LNCS 12565 and 12566, constitutes the refereed proceedings of the 6th International Conference on Machine Learning, Optimization, and Data Science, LOD 2020, held in Siena, Italy, in July 2020. The total of 116 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 209 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.

Author : Khalid Raza
Publisher : Springer Nature
Page : 340 pages
File Size : 41,5 Mb
Release : 2022-10-31
Category : Technology & Engineering
ISBN : 9789811963797

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Nature-Inspired Intelligent Computing Techniques in Bioinformatics by Khalid Raza Pdf

This book encapsulates and occupies recent advances and state-of-the-art applications of nature-inspired computing (NIC) techniques in the field of bioinformatics and computational biology, which would aid medical sciences in various clinical applications. This edited volume covers fundamental applications, scope, and future perspectives of NIC techniques in bioinformatics including genomic profiling, gene expression data classification, DNA computation, systems and network biology, solving personalized therapy complications, antimicrobial resistance in bacterial pathogens, and computer-aided drug design, discovery, and therapeutics. It also covers the role of NIC techniques in various diseases and disorders, including cancer detection and diagnosis, breast cancer, lung disorder detection, disease biomarkers, and potential therapeutics identifications.

Author : Rozaida Ghazali,Nazri Mohd Nawi,Mustafa Mat Deris,Jemal H. Abawajy,Nureize Arbaiy
Publisher : Springer Nature
Page : 415 pages
File Size : 54,5 Mb
Release : 2022-05-03
Category : Technology & Engineering
ISBN : 9783031008283

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Recent Advances in Soft Computing and Data Mining by Rozaida Ghazali,Nazri Mohd Nawi,Mustafa Mat Deris,Jemal H. Abawajy,Nureize Arbaiy Pdf

This book unfolds ways to transform data into innovative solutions perceived as new remarkable and meaningful value. It offers practical views of the concepts and techniques readers need to get the most out of their large-scale research and data mining projects. It strides them through the data-analytical thinking, circumvents the difficulty in deciphering complex data systems and obtaining commercialization value from the data. Also known as data-driven science, soft computing and data mining disciplines cover a broad spectrum, an interdisciplinary field of scientific methods and processes. The book, Recent Advances in Soft Computing and Data Mining, delivers sufficient knowledge to tackle a wide range of issues seen in complex systems. This is done by exploring a vast combination of practices and applications by incorporating these two domains. To thrive in these data-driven ecosystems, researchers, data analysts, and practitioners must choose the best design to approach the problem with the most efficient tools and techniques. To thrive in these data-driven ecosystems, researchers, data analysts, and practitioners must understand the design choice and options of these approaches, thus to better appreciate the concepts, tools, and techniques used.

Author : Asit Kumar Das,Janmenjoy Nayak,Bighnaraj Naik,Soumi Dutta,Danilo Pelusi
Publisher : Springer Nature
Page : 756 pages
File Size : 46,7 Mb
Release : 2021-09-04
Category : Technology & Engineering
ISBN : 9789811625435

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Computational Intelligence in Pattern Recognition by Asit Kumar Das,Janmenjoy Nayak,Bighnaraj Naik,Soumi Dutta,Danilo Pelusi Pdf

This book features high-quality research papers presented at the 3rd International Conference on Computational Intelligence in Pattern Recognition (CIPR 2021), held at the Institute of Engineering and Management, Kolkata, West Bengal, India, on 24 – 25 April 2021. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.

Author : Radek Silhavy
Publisher : Springer Nature
Page : 769 pages
File Size : 50,6 Mb
Release : 2022-07-16
Category : Technology & Engineering
ISBN : 9783031090707

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Software Engineering Perspectives in Systems by Radek Silhavy Pdf

The study of software engineering and its applications to system engineering is critical in computer science research. Modern research methodologies, as well as the use of machine and statistical learning in software engineering research, are covered in this book. This book contains the refereed proceedings of the Software Engineering Perspectives in Systems part of the 11th Computer Science On-line Conference 2022 (CSOC 2022), which was held in April 2022 online.

Author : Yousef Farhaoui
Publisher : Springer Nature
Page : 590 pages
File Size : 40,7 Mb
Release : 2024-06-13
Category : Electronic
ISBN : 9783031484650

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Artificial Intelligence, Data Science and Applications by Yousef Farhaoui Pdf

Author : Maoguo Gong,Linqiang Pan,Tao Song,Gexiang Zhang
Publisher : Springer
Page : 528 pages
File Size : 52,6 Mb
Release : 2017-01-07
Category : Computers
ISBN : 9789811036118

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Bio-inspired Computing – Theories and Applications by Maoguo Gong,Linqiang Pan,Tao Song,Gexiang Zhang Pdf

The two-volume set, CCIS 681 and CCIS 682, constitutes the proceedings of the 11th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2016, held in Xi'an, China, in October 2016.The 115 revised full papers presented were carefully reviewed and selected from 343 submissions. The papers of Part I are organized in topical sections on DNA Computing; Membrane Computing; Neural Computing; Machine Learning. The papers of Part II are organized in topical sections on Evolutionary Computing; Multi-objective Optimization; Pattern Recognition; Others.

Author : Bilal Abu-Salih,Pornpit Wongthongtham,Dengya Zhu,Kit Yan Chan,Amit Rudra
Publisher : Springer Nature
Page : 218 pages
File Size : 42,6 Mb
Release : 2021-03-10
Category : Business & Economics
ISBN : 9789813366527

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Social Big Data Analytics by Bilal Abu-Salih,Pornpit Wongthongtham,Dengya Zhu,Kit Yan Chan,Amit Rudra Pdf

This book focuses on data and how modern business firms use social data, specifically Online Social Networks (OSNs) incorporated as part of the infrastructure for a number of emerging applications such as personalized recommendation systems, opinion analysis, expertise retrieval, and computational advertising. This book identifies how in such applications, social data offers a plethora of benefits to enhance the decision making process. This book highlights that business intelligence applications are more focused on structured data; however, in order to understand and analyse the social big data, there is a need to aggregate data from various sources and to present it in a plausible format. Big Social Data (BSD) exhibit all the typical properties of big data: wide physical distribution, diversity of formats, non-standard data models, independently-managed and heterogeneous semantics but even further valuable with marketing opportunities. The book provides a review of the current state-of-the-art approaches for big social data analytics as well as to present dissimilar methods to infer value from social data. The book further examines several areas of research that benefits from the propagation of the social data. In particular, the book presents various technical approaches that produce data analytics capable of handling big data features and effective in filtering out unsolicited data and inferring a value. These approaches comprise advanced technical solutions able to capture huge amounts of generated data, scrutinise the collected data to eliminate unwanted data, measure the quality of the inferred data, and transform the amended data for further data analysis. Furthermore, the book presents solutions to derive knowledge and sentiments from BSD and to provide social data classification and prediction. The approaches in this book also incorporate several technologies such as semantic discovery, sentiment analysis, affective computing and machine learning. This book has additional special feature enriched with numerous illustrations such as tables, graphs and charts incorporating advanced visualisation tools in accessible an attractive display.

Author : Tutut Herawan,Mustafa Mat Deris,Jemal Abawajy
Publisher : Springer Science & Business Media
Page : 730 pages
File Size : 46,5 Mb
Release : 2013-12-14
Category : Technology & Engineering
ISBN : 9789814585187

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Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013) by Tutut Herawan,Mustafa Mat Deris,Jemal Abawajy Pdf

The proceeding is a collection of research papers presented at the International Conference on Data Engineering 2013 (DaEng-2013), a conference dedicated to address the challenges in the areas of database, information retrieval, data mining and knowledge management, thereby presenting a consolidated view to the interested researchers in the aforesaid fields. The goal of this conference was to bring together researchers and practitioners from academia and industry to focus on advanced on data engineering concepts and establishing new collaborations in these areas. The topics of interest are as follows but are not limited to: • Database theory • Data management • Data mining and warehousing • Data privacy & security • Information retrieval, integration and visualization • Information system • Knowledge discovery in databases • Mobile, grid and cloud computing • Knowledge-based • Knowledge management • Web data, services and intelligence

Author : Jan Mendling,Haralambos Mouratidis
Publisher : Springer
Page : 280 pages
File Size : 53,7 Mb
Release : 2018-06-06
Category : Computers
ISBN : 9783319929019

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Information Systems in the Big Data Era by Jan Mendling,Haralambos Mouratidis Pdf

This book constitutes the thoroughly refereed proceedings of the CAiSE Forum 2018 held in Tallinn, Estonia, as part of the 30th International Conference on Advanced Information Systems Engineering, CAiSE 2018, in June 2018. The CAiSE Forum is a place within the CAiSE conference for presenting and discussing new ideas and tools related to information systems engineering. Intended to serve as an interactive platform, the Forum aims at the presentation of emerging new topics and controversial positions, as well as demonstration of innovative systems, tools and applications. This year’s theme was “Information Systems in the Big Data Era”. The 10 full and 12 short papers in this volume were carefully reviewed and selected from 17 direct submissions (of which 2 full and 7 short papers were selected), plus 13 transfers from the CAiSE main conference (which resulted in another 8 full and 5 short papers).

Author : Anand J. Kulkarni,Patrick Siarry
Publisher : CRC Press
Page : 419 pages
File Size : 42,5 Mb
Release : 2021-09-01
Category : Computers
ISBN : 9781000434248

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Handbook of AI-based Metaheuristics by Anand J. Kulkarni,Patrick Siarry Pdf

At the heart of the optimization domain are mathematical modeling of the problem and the solution methodologies. The problems are becoming larger and with growing complexity. Such problems are becoming cumbersome when handled by traditional optimization methods. This has motivated researchers to resort to artificial intelligence (AI)-based, nature-inspired solution methodologies or algorithms. The Handbook of AI-based Metaheuristics provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural, and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications; and newly devised metaheuristic algorithms. This will be a valuable reference for researchers in industry and academia, as well as for all Master’s and PhD students working in the metaheuristics and applications domains.

Author : Sebastian Maneth
Publisher : Springer
Page : 221 pages
File Size : 51,8 Mb
Release : 2015-06-10
Category : Computers
ISBN : 9783319204246

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Data Science by Sebastian Maneth Pdf

This book constitutes the refereed conference proceedings of the 30th British International Conference on Databases, BICOD 2015 - formerly known as BNCOD (British National Conference on Databases) - held in Edinburgh, UK, in July 2015. The 19 revised full papers, presented together with three invited keynotes and three invited lectures were carefully reviewed and selected from 37 submissions. Special focus of the conference has been "Data Science" and so the papers cover a wide range of topics related to databases and data-centric computation.

Author : Sule Yildirim Yayilgan,Imran Sarwar Bajwa,Filippo Sanfilippo
Publisher : Springer Nature
Page : 424 pages
File Size : 50,5 Mb
Release : 2021-03-14
Category : Computers
ISBN : 9783030717117

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Intelligent Technologies and Applications by Sule Yildirim Yayilgan,Imran Sarwar Bajwa,Filippo Sanfilippo Pdf

This book constitutes the refereed post-conference proceedings of the Third International Conference on Intelligent Technologies and Applications, INTAP 2020, held in Grimstad, Norway, in September 2020. The 30 revised full papers and 4 revised short papers presented were carefully reviewed and selected from 117 submissions. The papers of this volume are organized in topical sections on image, video processing and analysis; security and IoT; health and AI; deep learning; biometrics; intelligent environments; intrusion and malware detection; and AIRLEAs.