New Trends in Model and Data Engineering, El Hassan Abdelwahed; Ladjel Bellatreche; Djamal B

Автор: Martin Kleppmann
Название: Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
ISBN: 1449373321 ISBN-13(EAN): 9781449373320
Издательство: Wiley
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Цена: 50680.00 T
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Описание: In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data.

Автор: Jos? F. Quesada; Mart?n Mateos Francisco-Jes?s; Te
Название: Future and Emerging Trends in Language Technology. Machine Learning and Big Data
ISBN: 3319693646 ISBN-13(EAN): 9783319693644
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book constitutes revised selected papers from the Second International Workshop on Future and Emerging Trends in Language Technology, FETLT 2016, which took place in Seville, Spain, in November 2016. The 10 full papers and 5 position papers presented in this volume were carefully reviewed and selected from 18 submissions.

Автор: MALLICK & BORAH
Название: Emerging Trends and Applications in Cognitive Computing
ISBN: 1522557938 ISBN-13(EAN): 9781522557937
Издательство: Mare Nostrum (Eurospan)
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Цена: 179740.00 T
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Описание: Though an individual can process a limitless amount of information, the human brain can only comprehend a small amount of data at a time. Using technology can improve the process and comprehension of information, but the technology must learn to behave more like a human brain to employ concepts like memory, learning, visualization ability, and decision making.Emerging Trends and Applications in Cognitive Computing is a fundamental scholarly source that provides empirical studies and theoretical analysis to show how learning methods can solve important application problems throughout various industries and explain how machine learning research is conducted. Including innovative research on topics such as deep neural networks, cyber-physical systems, and pattern recognition, this collection of research will benefit individuals such as IT professionals, academicians, students, researchers, and managers.

Автор: Michel Bidoit; Christine Choppy
Название: Recent Trends in Data Type Specification
ISBN: 3540563792 ISBN-13(EAN): 9783540563792
Издательство: Springer
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Цена: 74530.00 T
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Описание: The main topics covered by the workshops upon which this text is based were specification languages and programme development, algebraic specification of concurrency, object-oriented specifications, order-sorted algebras, and abstract implementation and behavioural semantics.

Автор: Magne Haveraaen; Olaf Owe; Ole-Johan Dahl
Название: Recent Trends in Data Type Specification
ISBN: 3540616292 ISBN-13(EAN): 9783540616290
Издательство: Springer
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Цена: 93160.00 T
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Описание: Contains a selection of papers from the 11th Workshop on Abstact data Types held jointly with the 8th COMPASS Workshop in Oslo, September 1995. The volume reports on the progress achieved in the area of algebraic specification since the predecessor meeting held in May 1994.

Автор: Mohadeseh Ganji; Lida Rashidi; Benjamin C. M. Fung
Название: Trends and Applications in Knowledge Discovery and Data Mining
ISBN: 3030045021 ISBN-13(EAN): 9783030045029
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book constitutes the thoroughly refereed post-workshop proceedings at PAKDD Workshops 2018, held in conjunction with the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2018, in Melbourne, Australia, in June 2018.The 32 revised papers presented were carefully reviewed and selected from 46 submissions. The workshops affiliated with PAKDD 2018 include: Workshop on Big Data Analytics for Social Computing, BDASC, Australasian Workshop on Machine Learning for Cyber-security, ML4Cyber, Workshop on Biologically-inspired Techniques for Knowledge Discovery and Data Mining, BDM, Pacific Asia Workshop on Intelligence and Security Informatics, PAISI, and Workshop on Data Mining for Energy Modeling and Optimization, DaMEMO.

Автор: Faisal Saeed; Nadhmi Gazem; Fathey Mohammed; Abdel
Название: Recent Trends in Data Science and Soft Computing
ISBN: 3319990063 ISBN-13(EAN): 9783319990064
Издательство: Springer
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Цена: 279500.00 T
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Описание: This book presents the proceedings of the 3rd International Conference of Reliable Information and Communication Technology 2018 (IRICT 2018), which was held in Kuala Lumpur, Malaysia, on July 23–24, 2018. The main theme of the conference was “Data Science, AI and IoT Trends for the Fourth Industrial Revolution.” A total of 158 papers were submitted to the conference, of which 103 were accepted and considered for publication in this book. Several hot research topics are covered, including Advances in Data Science and Big Data Analytics, Artificial Intelligence and Soft Computing, Business Intelligence, Internet of Things (IoT) Technologies and Applications, Intelligent Communication Systems, Advances in Computer Vision, Health Informatics, Reliable Cloud Computing Environments, Recent Trends in Knowledge Management, Security Issues in the Cyber World, and Advances in Information Systems Research, Theories and Methods.

Автор: Leong Hou U.; Hady W. Lauw
Название: Trends and Applications in Knowledge Discovery and Data Mining
ISBN: 3030261417 ISBN-13(EAN): 9783030261412
Издательство: Springer
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Цена: 46570.00 T
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Описание: 14th Pacific Asia Workshop on Intelligence and Security Informatics (PAISI 2019).- A Supporting Tool for IT System Security Specification Evaluation Based on ISO/IEC 15408 and ISO/IEC 18045.- An Investigation on Multi View based User Behavior towards Spam Detection in Social Networks.- A Cluster Ensemble Strategy for Asian Handicap Betting.- Designing an Integrated Intelligence Center: New Taipei City Police Department as an Example.- Early Churn User Classification in Social Networking Service Using Attention-based Long Short-Term Memory.- PAKDD 2019 Workshop on Weakly Supervised Learning: Progress and Future (WeL 2019).- Weakly Supervised Learning by a Confusion Matrix of Contexts.- Learning a Semantic Space for Modeling Images, Tags and Feelings in Cross-media Search.- Adversarial Active Learning in the Presence of Weak and Malicious Oracles.- The Most Related Knowledge First: A Progressive Domain Adaptation Method.- Learning Data Representation for Clustering (LDRC 2019).- Deep Architectures for Joint Clustering and Visualization with Self-Organizing Maps.- Deep cascade of extra trees.- Algorithms for an Efficient Tensor Biclustering.- Change point detetion in periodic panel data using a mixture-model-based approach.- The 8th Workshop on Biologically-inspired Techniques for Knowledge Discovery and Data Mining (BDM 2019).- Neural Network-Based Deep Encoding for Mixed-Attribute Data Classification.- Protein Complexes Detection Based on Deep Neural Network.- Predicting Auction Price of Vehicle License Plate with Deep Residual Learning.- Mining Multispectral Aerial Images for Automatic Detection of Strategic Bridge Locations for Disaster Relief Missions.- Chinese Word Segmentation with Feature Alignment.- Spike Sorting with Locally Weighted Co-association Matrix-based Spectral Clustering.- Label Distribution Learning Based Age-Invariant Face Recognition.- Overall Loss For Deep Neural Networks.- Sentiment Analysis Based on LSTM Architecture with Emoticon Attention.- Aspect Level Sentiment Analysis with Aspect Attention.- The 1st Pacific Asia Workshop on Deep Learning for Knowledge Transfer (DLKT 2019).- Transfer Channel Pruning for Compressing Deep Domain Adaptation Models.- A Heterogeneous Domain Adversarial Neural Network for Trans-Domain Behavioral Targeting.- Natural Language Business Intelligence Question Answering through SeqtoSeq Transfer Learning.- Robust Faster R-CNN: Increasing Robustness to Occlusions and multi-scale objects.- Effectively Representing Short Text via the Improved Semantic Feature Space Mapping.- Probabilistic Graphical Model Based Highly Scalable Directed Community Detection Algorithm.- Hilltop based recommendation in co-author networks.- Neural Variational Collaborative Filtering for Top-K Recommendation.

Автор: Fujita
Название: Trends in Applied Knowledge-Based Systems and Data Science
ISBN: 3319420062 ISBN-13(EAN): 9783319420066
Издательство: Springer
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Цена: 89440.00 T
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Описание: This book constitutes the refereed conference proceedings of the 29th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016, held in Morioka, Japan, in August 2-4, 2016. The 80 revised full papers presented were carefully reviewed and selected from 168 submissions.

Автор: Bellatreche
Название: Model and Data Engineering
ISBN: 331945546X ISBN-13(EAN): 9783319455464
Издательство: Springer
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Цена: 54040.00 T
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Описание: This book constitutes the refereed proceedings of the 6th International Conference on Model and Data Engineering, MEDI 2016, held in Almeria, Spain, in September 2016. The 17 full papers and 10 short papers presented together with 2 invited talks were carefully reviewed and selected from 62 submissions.

Автор: Ladjel Bellatreche; Yannis Manolopoulos
Название: Model and Data Engineering
ISBN: 3319237802 ISBN-13(EAN): 9783319237800
Издательство: Springer
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Цена: 52170.00 T
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Описание: This book constitutes the refereed proceedings of the 5th International Conference on Model and Data Engineering, MEDI 2015, held in Rhodes, Greece, in September 2015. The papers are organized in topical sections such as modeling and meta modeling; ontology-based modeling, reasoning and reuse; context modeling and model transformation;

Автор: Yassine Ouhammou; Mirjana Ivanovic; Alberto Abell?
Название: Model and Data Engineering
ISBN: 3319668536 ISBN-13(EAN): 9783319668536
Издательство: Springer
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Цена: 60550.00 T
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Описание: This book constitutes the refereed proceedings of the 7th International Conference on Model and Data Engineering, MEDI 2017, held in Barcelona, Spain, in October 2017. The 20 full papers and 7 short papers presented together with 2 invited talks were carefully reviewed and selected from 69 submissions.