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[null,"1.","Record Nr.",null,"UNINA9910484704803321"]
[null,null,"Titolo",null,"Advanced Data Mining and Applications : 13th International Conference, ADMA 2017, Singapore, November 5–6, 2017, Proceedings / / edited by Gao Cong, Wen-Chih Peng, Wei Emma Zhang, Chengliang Li, Aixin Sun"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017"]
[null,null,"ISBN",null,"3-319-69179-1"]
[null,null,"Edizione",null,"[1st ed. 2017.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XVII, 881 p. 264 illus.)"]
[null,null,"Collana",null,"Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 10604"]
[null,null,"Disciplina",null,"006.312"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Information storage and retrieval systems"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Natural language processing (Computer science)"]
[{"$nulls":4},"Computer networks"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Information Storage and Retrieval"]
[{"$nulls":4},"Computer and Information Systems Applications"]
[{"$nulls":4},"Natural Language Processing (NLP)"]
[{"$nulls":4},"Computer Communication Networks"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Database and Distributed Machine Learning -- Querying and Mining Strings Made Easy Distributed Training Large-Scale Deep Architectures -- Fault Detection and Localization in Distributed Systems using Recurrent Convolutional Neural Networks -- Discovering Group Skylines with Constraints by Early Candidate Pruning -- Comparing MapReduce-Based k-NN Similarity Joins On Hadoop For High-dimensional Data -- A Higher-Fidelity Frugal Quantile Estimator -- Recommender System -- Fair Recommendations Through Diversity Promotion -- A Hierarchical Bayesian Factorization Model for Implicit and Explicit Feedback Data -- Empirical Analysis of Factors Influencing Twitter Hashtag Recommendation on Detected Communities -- Group "]
[{"$nulls":4},"Recommender Model Based on Preference Interaction -- Identification of Grey Sheep Users By Histogram Intersection In Recommender Systems -- Social Network and Social Media -- A Feature-based Approach for the Redefined Link Prediction Problem in Signed Networks -- From Mutual Friends to Overlapping Community Detection: A Non-negative Matrix Factorization Approach -- Calling for Response: Automatically Distinguishing Situation-aware Tweets During Crises -- Efficient Revenue Maximization for Viral Marketing in Social Networks -- Generating Life Course Trajectory Sequences with Recurrent Neural Networks and Application to Early Detection on Social Disadvantage -- FRISK: A Multilingual Approach to Find twitteR InterestS via wiKipedia -- A Solution to Tweet-Based User Identification across Online Social Networks -- Machine Learning -- Supervised Feature Selection Algorithm Based on Low-Rank and Manifold Learning -- Mixed Membership Sparse Gaussian Conditional Random Fields -- Effects of Dynamic Subspacing in Random Forest -- Diversity and Locality in Multi-Component, Multi-Layer Predictive Systems: A Mutual Information Based Approach -- Hybrid Subspace Mixture Models For Prediction and Anomaly Detection in High Dimensions -- Classification and Clustering Methods --  StruClus: Scalable Structural Graph Set Clustering with Representative Sampling -- Employing Hierarchical Clustering and Reinforcement Learning for Attribute-based Zero-Shot Classification -- Environmental Sound Recognition using Masked Conditional Neural Networks -- Analyzing Performance of Classification Techniques in Detecting Epileptic Seizure -- A Framework for Clustering and Dynamic Maintenance of XML Documents -- Language-independent Twitter Classification using Character-based Convolutional Networks -- Behavior Modeling and User Profiling -- Modeling Check-in Behavior with Geographical Neighborhood Influence of Venues -- An empirical study on collective online behaviors of extremist supporters. -Your Moves, Your Device: Establishing Behavior Profiles using Tensors -- An Approach for Identifying Author Profiles of Blogs -- Generating Topics of Interests for Research Communities -- An Evolutionary Approach for Learning Conditional Preference Network from Inconsistent Examples -- Bioinformatic and Medical Data Analysis -- Predicting Clinical Outcomes of Alzheimer's Disease from Complex Brain Networks -- Doctoral Advisor or Medical Condition: Towards Entity-specific Rankings of Knowledge Base Properties -- Multiclass Lung Cancer Diagnosis by Gene Expression Programming and Microarray Datasets -- Drug-drug Interaction Extraction via Recurrent Neural Network with Multiple Attention Layers -- Spatio-temporal Data -- People-Centric Mobile Crowdsensing Platform for Urban Design -- Long-Term User Location Prediction Using Deep Learning and Periodic Pattern Mining -- An Intelligent Weighted Fuzzy Time Series Model Based on A Sine-Cosine Adaptive Human Learning Optimization Algorithm and Its Application to Financial Markets Forecasting -- Mobile Robot Scheduling with Multiple Trips and Time Windows -- Natural Language Processing and Text Mining -- Feature Analysis for Duplicate Detection in Programming QA Communities -- A Joint Human/Machine Process for Coding Events and Conflict Drivers -- Quality Prediction of Newly Proposed Questions in CQA by Leveraging Weakly Supervised Learning -- Improving Chinese Sentiment Analysis via Segmentation-based Representation Using Parallel CNN -- Entity Recognition by Distant Supervision with Soft List Constraint -- Structured Sentiment Analysis -- Data Mining Applications -- Improving Real-Time Bidding Using a Constrained Markov Decision Process -- PowerLSTM: Power Demand Forecasting Using Long Short-Term Memory Neural Network -- Identifying Unreliable Sensors Without "]
[{"$nulls":4},"a Knowledge of the Ground Truth in Deceptive Environments -- Color-sketch simulator: a guide for color-based visual known-item search -- Applications -- Making Use of External Company Data to Improve the Classification of Bank Transactions -- Mining Load Profile Patterns for Australian Electricity Consumers -- STA: a Spatio-temporal Thematic Analytics Framework for Urban Ground Sensing -- Privacy and Utility Preservation for Location Data Using Stay Region Analysis -- Location-aware Human Activity Recognition -- Demos -- SWYSWYK: a new Sharing Paradigm for the Personal Cloud -- Tools and Infrastructure for Supporting Enterprise Knowledge Graphs -- An Interactive Web-based Toolset for Knowledge Discovery from Short Text Log Data -- Carbon: Forecasting Civil Unrest Events by Monitoring News and Social Media -- A system for Querying and Analyzing Urban Regions -- Detect tracking behavior among trajectory data."]
[null,null,null,"Sommario/riassunto","This book constitutes the refereed proceedings of the 13th International Conference on Advanced Data Mining and Applications, ADMA 2017, held in Singapore in November 2017. The 20 full and 38 short papers presented in this volume were carefully reviewed and selected from 118 submissions. The papers were organized in topical sections named: database and distributed machine learning; recommender system; social network and social media; machine learning; classification and clustering methods; behavior modeling and user profiling; bioinformatics and medical data analysis; spatio-temporal data; natural language processing and text mining; data mining applications; applications; and demos. ."]
[null,"2.","Record Nr.",null,"UNISA996655266503316"]
[null,null,"Titolo",null,"Applications of Evolutionary Computation : 28th European Conference, EvoApplications 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23–25, 2025, Proceedings, Part II / / edited by Pablo García-Sánchez, Emma Hart, Sarah L. Thomson"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"3-031-90065-0"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XXII, 560 p. 160 illus., 136 illus. in color.)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science, , 1611-3349 ; ; 15613"]
[null,null,"Disciplina",null,"004.0151"]
[null,null,"Soggetti",null,"Computer science"]
[{"$nulls":4},"Computers"]
[{"$nulls":4},"Computer networks"]
[{"$nulls":4},"Computers, Special purpose"]
[{"$nulls":4},"Computer systems"]
[{"$nulls":4},"Computer science - Mathematics"]
[{"$nulls":4},"Theory of Computation"]
[{"$nulls":4},"Computing Milieux"]
[{"$nulls":4},"Computer Communication Networks"]
[{"$nulls":4},"Special Purpose and Application-Based Systems"]
[{"$nulls":4},"Computer System Implementation"]
[{"$nulls":4},"Mathematics of Computing"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"-- Evolutionary machine learning.  -- Social Interpretable Reinforcement Learning.  -- Into the Black Box: Mining Variable Importance with XAI.  -- Evolving RNNs for Stock Forecasting: A Low Parameter Efficient Alternative to Transformers.  -- Generate more than one child in your co-evolutionary semi-supervised learning GAN.  -- EDCA – An Evolutionary Data-Centric AutoML Framework for Efficient Pipelines.  -- 30 years of particle swarm optimisation.  -- Proposal of Efficient Particle Swarm Optimization for Constrained Optimization Problems.  -- A Survey of Modern Hybrid Particle Swarm Optimization Algorithms.  -- An Investigation of Structural Bias in Particle Swarm Optimization.  -- GPSO in PTO.  -- We are Sending you Back... to the Optimum! Fuzzy Time Travel Particle Swarm Optimization.  -- Memetic "]
[{"$nulls":4},"Variations of Overlapping Swarm Intelligence.  -- Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications.  -- Multi-Tree Genetic Programming for Large-scale Dynamic Tugboat Scheduling.  -- Bio-inspired Algorithms for Green Computing and Sustainable Complex Systems.  -- Hybridization of techniques based on Genetic Algorithms and Neural Networks to determine the water requirements of fig trees.  -- Evaluating the Impact of Hysteretic Phenomena and Implementation Choices on Energy Consumption in Evolutionary Algorithms.  -- Measuring energy consumption of BBOB fitness functions.  -- Computational Intelligence for Sustainability.  -- A PSO-based MPPT with Dynamic Monitoring Reset for PV Systems.  -- An innovative approach for managing the water requirements of fig trees using artificial intelligence.  -- GPBus: Genetic Programming based Automated Machine Learning for Bus Delay Prediction.  -- Improving Fairness in Allocation of Emergency Medical Services using Multi-Objective Evolutionary Optimization.  -- A Multi-Agent System for Optimal Train Scheduling in Single-Track Railways.  -- EvoLLMs (Integrating Evolutionary Computing with Large Language Models (LLMs).  -- Evolutionary Bias Identification with Embeddings.  -- Probing LLMs on Optimization Problems: Can They Recall and Interpret Problem Features?.  -- Open and Closed-source Models for LLM-generated Metaheuristics Solving Engineering Optimization Problem.  -- Beyond the Hype: Benchmarking LLM-Evolved Heuristics for Bin Packing.  -- Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms.  -- Evolutionary Computation in Edge, Fog, and Cloud Computing.  -- A Communication-aware and Energy-efficient Genetic Programming based Method for Dynamic Resource Allocation in Clouds.  -- A Genetic Algorithm-Based Parameter Selection for Communication Efficient Federated Learning.  -- Evolutionary Computation in Image Analysis, Signal Processing, and Pattern Recognition.  -- Evolving Cellular Automata with Function-Based Conditional Rules for Image Filtering.  -- Machine Learning and AI in Digital Healthcare and Personalized Medicine.  -- Addressing Radiotherapy Scheduling with a Bin Packing Problem Formulation: A Comparative Study of Exact Solvers and Genetic Algorithms.  -- A Symbolic Regression Screening Approach within Peptide Optimisation.  -- Estimation of total body fat using symbolic regression and evolutionary algorithms.  -- Soft Computing Applied to Games.  -- Injecting Combinatorial Optimization into MCTS: Application to the Board Game boop.  -- Robust search for the underlying objectives in black-box games with binary outcomes."]
[null,null,null,"Sommario/riassunto","This two-volume set, LNCS 15612 and 15613 constitutes the refereed proceedings of the 28th European Conference on Applications of Evolutionary Computation, EvoApplications 2025, held as part of EvoStar 2025, in Trieste, Italy, during April 23–25, 2025, and co-located with the EvoStar events, EvoCOP, EvoMUSART, and EuroGP. The 50 full papers and 18 short papers presented in this book were carefully reviewed and selected from 104 submissions. These papers have been organized in the following topical sections: Part I: EvoApplications. Part II: Evolutionary machine learning; 30 years of particle swarm optimisation; Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications; Bio-inspired Algorithms for Green Computing and Sustainable Complex Systems; Computational Intelligence for Sustainability; EvoLLMs (Integrating Evolutionary Computing with Large Language Models (LLMs); Evolutionary Computation in Edge, Fog, and Cloud Computing; Evolutionary Computation in Image Analysis, Signal Processing, and Pattern Recognition; Machine Learning and AI in Digital Healthcare and "]
[{"$nulls":4},"Personalized Medicine; Soft Computing Applied to Games."]