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Web-age information management : WAIM 2013 International Workshops: HardBD, MDSP, BigEM, TMSN, LQPM, BDMS, Beidaihe, China, June 14-16, 2013. Proceedings by WAIM (Conference) Beidaihe, China), SpringerLink (Online service), HardBD 2013, International Workshop on Massive Data Storage and Processing, BigEM 2013, TMSN 2013, LQPM 2013, BDMS 2013

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Big data analytics using Splunk by Zadrozny, Peter

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Knowledge-based and intelligent information and engineering systems : 14th international conference, KES 2010, Cardiff, UK, September 8-10, 2010, proceedings. Part I by International Conference on Knowledge-Based Intelligent Information Engineering Systems and Allied Technologies Cardiff, Wales, SpringerLink (Online service)

Contents: “…Keynote Talks -- Evolving Integrative Brain-, Gene-, and Quantum Inspired Systems for Computational Intelligence and Knowledge Engineering -- A Semiotic View of Social Intelligence for Realizing Human-Machine Symbiotic Systems -- Embracing Uncertainty: The New Machine Intelligence -- Exploiting Social Structures and Social Networks -- Knowledge Visualization for Engineered Systems -- Proximity-Based Federation of Smart Objects: Liberating Ubiquitous Computing from Stereotyped Application Scenarios -- Artificial Neural Networks, Connectionists Systems and Evolutionary Computation -- A Neural Network Model to Develop Urban Acupuncture -- Discovering Process Models with Genetic Algorithms Using Sampling -- A Multi-Objective Evolutionary Approach for the Antenna Positioning Problem -- CLONAL-GP Framework for Artificial Immune System Inspired Genetic Programming for Classification -- Solving Industrial Based Job-Shop Scheduling Problem by Distributed Micro-Genetic Algorithm with Local Search -- Data Mining via Rules Extracted from GMDH: An Application to Predict Churn in Bank Credit Cards -- Sensitivity Analysis and Automatic Calibration of a Rainfall-Runoff Model Using Multi-objectives -- University Course Timetabling Using ACO: A Case Study on Laboratory Exercises -- Machine Learning and Classical AI -- Nonparametric Statistical Analysis of Machine Learning Algorithms for Regression Problems -- Adaptive Learning of Nominal Concepts for Supervised Classification -- A Novel Approach of Process Mining with Event Graph -- A Classification Algorithm for Process Sequences Based on Markov Chains and Bayesian Networks -- Coaching to Enhance the Online Behavior Learning of a Robotic Agent -- Agent and Multi-agent Systems -- Cooperation of AGVs' Head-on Collision Avoidance by Knowledge Exchange in Autonomous Decentralized FMS -- A Log Analyzer Agent for Intrusion Detection in a Multi-Agent System -- A Proof System for Time-Dependent Multi-agents -- Toward Emotional E-Commerce: Formalizing Agents for a Simple Negotiation Protocol -- Distributed Ant Colony Clustering Using Mobile Agents and Its Effects -- Monitoring a Multi-Agent System Evolution through Iterative Development -- An Agent for Ecological Deliberation -- A Framework to Compute Inference Rules Valid in Agents' Temporal Logics -- Statecharts-Based JADE Agents and Tools for Engineering Multi-Agent Systems -- Telco Agent: Enabler of Paradigm Shift towards Customer-Managed Relationship -- Multi-attribute Auction Model for Agent-Based Content Trading in Telecom Markets -- Applying Possibility and Belief Operators to Conditional Statements -- A Computer Adaptive Testing Method for Intelligent Tutoring Systems -- Intelligent Vision, Image Processing and Signal Processing -- Combining Patient Metadata Extraction and Automatic Image Parsing for the Generation of an Anatomic Atlas -- Parallel Processing with CUDA in Ceramic Tiles Classification -- Signal Receiving and Processing Platform of the Experimental Passive Radar for Intelligent Surveillance System Using Software Defined Radio Approach -- Automated Anticounterfeiting Inspection Methods for Rigid Films Based on Infrared and Ultraviolet Pigments and Supervised Image Segmentation and Classification -- Vowel Recognition by Using the Combination of Haar Wavelet and Neural Network -- Bayesian Classification Using DCT Features for Brain Tumor Detection -- A New Strategy of Adaptive Nonlinear Echo Cancelling Volterra-Wiener Filter Structure Selection -- Intelligent System for Commercial Block Recognition Using Audio Signal Only -- Viewpoint Insensitive Actions Recognition Using Hidden Conditional Random Fields -- Fuzzy Hyper-Prototype Clustering -- Knowledge Management, Ontologies and Data Mining -- Clustering Using Difference Criterion of Distortion Ratios -- Computer-Generated Conversation Based on Newspaper Headline Interpretation -- Using Regression Analysis to Identify Patterns of Non-Technical Losses on Power Utilities -- Enhancing the Symbolic Aggregate Approximation Method Using Updated Lookup Tables -- Which XML Storage for Knowledge and Ontology Systems? …”
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Spatio-temporal data streams by Galić, Zdravko

Contents: “…2.5 Implementation2.5.1 User-Defined Aggregate Functions; 2.5.2 SQL-Like Language Embedding: CSQL; References; 3 Spatio-Temporal Data Streams and Big Data Paradigm; 3.1 Background; 3.2 MobyDick -- A Prototype of Distributed Framework #x83;; 3.2.1 Data Model; 3.2.2 Apache Flink; 3.2.3 Spatio-Temporal Queries; 3.3 Related Work; 3.3.1 Distributed Spatial and Spatio-Temporal Batch Systems; 3.3.2 Centralized DSMS-Based Systems; 3.3.3 Distributed DSMS-Based Systems; 3.4 Final Remarks; References; 4 Spatio-Temporal Data Stream Clustering; 4.1 Introduction; 4.1.1 Spatio-Temporal Clustering.…”
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Future data and security engineering : big data, security and privacy, smart city and Industry 4.0 applications : 9th International Conference, FDSE 2022, Ho Chi Minh City, Vietnam... by FDSE (Conference) Ho Chi Minh City, Vietnam), SpringerLink (Online service)

Contents: “…Invited Keynotes -- Towards a Foundation of Web3 -- In-Memory Computing Architectures for Big data and Machine Learning Applications -- Secure and Efficient Implementation of Electronic Money -- Managing the Quality of Data and Metadata for Biobanks -- Big Data Analytics and Distributed Systems -- Towards A Privacy, Secured and Distributed Clinical Data Warehouse Architecture -- Improving the Storage Utilization of 0-Complete Trees as Index Structures -- Implement the Data Conversion System by using Lightweight Coreset for Validation Process -- Content Selection Methods Using User Interest Prediction Based on Similarities of Web Activities -- ImageNet Challenging Classification with the Raspberry Pis: A Federated Learning Algorithm of Local Stochastic Gradient Descent Models -- Covid-19 Detection Based on Lung Lesion Signs in Big Data Processing Environment -- Predicting Loan Repayment Using A Hybrid of Genetic Algorithms, Logistic Regression, and Artificial Neural Networks -- Performance Evaluation of Regular Decomposition and Benchmark Clustering Methods -- Security and Privacy Engineering -- Authentication of Luxury Products Identifying Key Requirements from a Seller and Consumer Perspective -- Analysis of A New Practical SPN-based Scheme in the Luby-Rackoff Model -- Authorization and Access Control for Different Database Models: Requirements and Current State of the Art -- A Hierarchical Deterministic Wallet using Ed25519 Digital Signature Scheme -- A Secure Framework for Internet of Medical Things Security Based System using Lightweight Cryptography enabled Blockchain -- Signature Algorithms on Non-commutative Algebras over Finite Fields of Characteristic Two -- Design a Smart Lock System Using Fingerprint and Password for Enhancing Security -- Machine Learning and Artificial Intelligence for Security and Privacy -- Towards an Attention-based Threat Detection System for IoT Networks -- Security and Privacy Issues and Solutions in Federated Learning for Digital Healthcare -- pPATE: A Pragmatic Private Aggregation of Teacher Ensembles Framework by Sparse Vector Technique based Differential Privacy, Paillier Cryptosystem and Human-in-the-loop -- Vietnamese Texts Writing Styles Based Authorship Identification Model -- Application of Machine Learning in Malware Detection -- Smart City and Industry 4.0 Applications -- Text Classification Models and Topic Models: An Overall Picture and A Case Study in Vietnamese -- Deep Hybrid Models for Forecasting Stock Midprices from the High-Frequency Limit Order Book -- An Image Denoising Model based on Nonlinear Partial Diferential Equation Using Deep Learning -- Recommendations in E-Commerce Systems based on Deep Matrix Factorization -- AttendanceKit: A set of Role-based Mobile Applications for Automatic Attendance Checking with UHF RFID using Realtime Firebase and Face Recognition -- Poses Classification in a Taekwondo Lesson using Skeleton Data extracted from Videos with Shallow and Deep Learning Architectures -- Social Distancing Violation Detection in Video using ChessBoard and Bird's-eye Perspective -- 3D-FaultSeg-UNet: 3D Fault Segmentation in Seismic Data Using Bi-stream U-Net -- Applying Artificial Intelligence to Plan Flight Paths for Aircraft at Subsonic Speeds -- Capacity Building in Government: Towards Developing A Standard for A Functional Specialist in AI for Public Services -- On the Feasibility of Machine Learning Models for Customer Spending Prediction Problem -- Forecasting the Opening and Closing Price Trends of Stock Using Hybrid Models and Artificial Intelligence Algorithm -- Artificial Intelligence Use in e-Government Services: A Systematic Interdisciplinary Literature Review -- Face Recognition based on Deep Learning and Data Augmentation -- An Approach for Similarity Vietnamese Documents Detection from English Documents -- Combine Clasification Algorithm and Centernet Model to Predict Trafic Density -- Data Analytics and Healthcare Systems -- Comparison of Health Indicators Construction for Concrete Structure Using Acoustic Emission Hit and Kullback-Leibler Divergence -- Lung and Colon Tumor Classification Based on Transfer Learning-Based Techniques -- An Enhanced Diabetes Mellitus Prediction using Feature Selection-Based Type-2 Fuzzy Model -- A Novel Approach of Using Neural Circuit Policies for COVID-19 Classification on CT-images -- Lung Lesions Segmentation and Classification with Deep Neural Networks -- Security and Data Engineering -- Image Denoising using Fully Connected Network with Reinforcement Learning -- Energy Harvesting Aware for Delay-efficient Data Aggregation in Battery-free IoT Sensors -- Deep Models for Mispronounce Prediction for Vietnamese Learners of English -- An Approach to Hummed-tune and Song Sequences Matching -- 84 Birds Classification using Transfer Learning and EfficientNetB2 -- A Session-based Recommender System for Learning Resources -- A Drowsiness Detection System Based on Eye Landmarks Using IoT -- A Novel Approach for Vietnamese Speech Recognition Using Conformer -- Enhancing obfuscated malware detection with machine learning techniques -- Detecting Intrusion using Multiple Datasets in Software-Defined Networks -- Detecting Exams Fraud Using Transfer Learning and Fine-tuning for ResNet50 -- Shape of Pill Recognition Using Mask R-CNN.…”
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Proceeding of International Conference on Computational Science and Applications : ICCSA 2019 by International Conference on Computational Science and Applications Pune, India, SpringerLink (Online service)

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Python data analytics : data analysis and science using Pandas, matplotlib, and the Python programming language by Nelli, Fabio

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Future data and security engineering : big data, security and privacy, smart city and Industry 4.0 applications : 10th International Conference, FDSE 2023, Da Nang, Vietnam, Novemb... by FDSE (Conference) Da Nang, Vietnam), SpringerLink (Online service)

Contents: “…An experiment report -- Authenticating Parties in Blockchain-Enabled Inter-Organizational Processes with Configurable Challenge-Sets -- Differential Privacy for Consumer Data in Retail Data Partnerships -- Using transformer technique for intrusion detection -- Machine Learning and Artificial Intelligence for Security and Privacy -- A Siamese-Based Approach for Network Intrusion Detection Systems in Software-Defined Networks -- An Efficient Machine Learning-based Web Application Firewall with Deep Automated Pattern Categorization -- Utilizing InfoGAN and PE Header Features for Synthetic Ransomware Image Generation: An Experimental Study -- Enhancing Detection of Daily-Used Face Swap Applications by Using Focused Landmark Analysis -- Differential Privacy under Membership Inference Attacks -- Smart City and Industry 4.0 Applications -- LAVETTES: Large-scAle-dataset Vietnamese ExTractive TExt Summarization Models -- Exploring Links between Personality Traits and Environmental Attitudes with GreenBig5 System -- Study on Web Based Virtualized Containers for Software Development Lectures in BYOD -- Session-based Recommendation System Approach for Predicting Learning Performance -- A Fuzzy Logic Model for Digital Transformation Assessment of Vietnamese Higher Education Institutions -- Digital Transformation Insights from an AI Solution in Search of a Problem -- Improving Human Resources⁰́₉ Efficiency with A Generative AI-based Resume Analysis Solution -- LORAP: Local Deep Neural Network for Solar Radiation Prediction -- A Digital Therapeutics System for the Diagnosis and Management of Depression: Work in Progress -- BERT-based Sentence Recommendation for Building Vietnamese Universal Dependency Treebank -- Evaluate the Efficiency of Hybrid Model based on Convolutional Neural Network and Long Short-Term Memory in Information Technology Job Graph Network -- A Dataset of Vietnamese Documents for Text Detection -- Data Analytics and Healthcare Systems -- Personalized Stress Detection System Using Physiological Data from Wearable Sensors -- Vision Transformer for Kidney Stone Detection -- Attention Models and Image Pre-Processing For Covid- 19 Detection Based on Lung Ultrasound Images -- Deep Learning Techniques for Segmenting Breast Lesion Regions and Classifying Mammography Images -- Development of a Handwriting Drawings Assessment System for Early Parkinson⁰́₉s Disease Identification with Deep Learning Methods -- Breast Cancer Classification on Mammograms Using Vision Transformer -- Comparing Performance of Linear Regression Models Trained on Systemathic Forest Measurement Datasets to Predict Diameter at Breast Height -- Detection and Segmentation of Brain Tumors on 3D MR images Using 3D U-Net -- Short Papers: Security and Data Engineering -- Towards Automating Semantic Relationship Awareness in Operational Technology Monitoring -- Feature Fool Exploitation for Lightweight Anomaly Detection in Respiratory Sound -- Multiple Vehicles Detection and Tracking using Ground and Aerial Images for Vehicular Management System -- Deep Learning Approach for Tomato Leaf Disease Detection -- Invasive Ductal Carcinoma Classification from Whole Slide Image based on BRISQUE and Convolutional Neural Networks -- Robust and Accurate Automatic License Plate Recognition System -- Community Detection for Personalized Learning Pathway Recommendations on IT E-Learning System -- Improving Warped Planar Object Detection Network for Automatic License Plate Recognition.…”
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Data mining techniques in sensor networks : summarization, interpolation and surveillance by Appice, Annalisa, Ciampi, Anna, Fumarola, Fabio, Malerba, Donato

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Foundations of data intensive applications : large scale data analytics under the hood by Kamburugamuve Loku Acharilage, Supun Madhushanka Kamburugamuva, Ekanayake, Saliya