Description |
1 online resource (xviii, 725 pages) : illustrations |
Series |
Lecture notes in artificial intelligence, 0302-9743 ; 10334 |
|
LNCS sublibrary. SL 7, Artificial intelligence |
|
Lecture notes in computer science. Lecture notes in artificial intelligence ; 10334
|
|
LNCS sublibrary. SL 7, Artificial intelligence.
|
Contents |
Intro -- Preface -- Organization -- Contents -- Data Mining, Knowledge Discovery and Big Data -- Word Embedding Based Event Detection on Social Media -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Data Collection -- 3.2 Data Preprocessing -- 3.3 Word Embedding -- 3.4 Clustering Algorithm -- 4 Experiments and Results -- 5 Conclusion -- References -- Sentiment Analysis on TripAdvisor: Are There Inconsistencies in User Reviews? -- 1 Introduction -- 2 Sentiment Analysis -- 2.1 The Sentiment Analysis Problem -- 2.2 Sentiment Analysis Methods (SAMs) -- 3 Methodology |
|
3.1 TripAdvisor -- 3.2 Web Scraping -- 3.3 Experimental Setup -- 4 Experiment Results -- 4.1 The Data Sets -- 4.2 Analysis of Results -- 5 Conclusions and Future Work -- References -- Sentiment Classification from Multi-class Imbalanced Twitter Data Using Binarization -- 1 Introduction -- 2 Proposed Classification System -- 2.1 General Overview -- 2.2 Feature Space Reduction with Multiple Correspondence Analysis -- 2.3 Balancing the Skewed Distributions -- 2.4 Weighted Classifier Combination -- 3 Feature Extraction -- 4 Experimental Study -- 4.1 Dataset -- 4.2 Set-Up -- 4.3 Results and Discussion |
|
5 Conclusions and Future Works -- References -- An Ontology for Generalized Disease Incidence Detection on Twitter -- Abstract -- 1 Introduction -- 1.1 Related Work -- 2 Materials and Methods -- 2.1 An Ontology for Disease Incidence Detection on Twitter -- 2.2 Feature Extraction -- 3 The Twitter Disease Incidence Detection Pipeline -- 3.1 Corpus Generation -- 3.2 Model Training -- 3.3 Doc2Vec Tuning -- 4 Evaluation -- 4.1 Results and Discussion -- 5 Conclusion and Future Work -- References |
|
Hybrid Methodology Based on Bayesian Optimization and GA-PARSIMONY for Searching Parsimony Models by Combining Hyperparameter Optimization and Feature Selection -- 1 Introduction -- 2 Materials and Methods -- 2.1 Extreme Gradient Boosting Machines -- 2.2 Bayesian Optimization -- 2.3 GA-PARSIMONY Methodology -- 2.4 Hybrid Method Based on Bayesian Optimization and GA-PARSIMONY -- 3 Experiments -- 3.1 Datasets and Validation Process -- 3.2 GA-PARSIMONY Settings -- 3.3 Bayesian Optimization Settings -- 3.4 Hybrid Method Settings -- 4 Results and Discussion -- 5 Conclusions -- References |
|
Concept Discovery in Graph Databases -- 1 Introduction -- 2 Background -- 2.1 Concept Discovery -- 2.2 Graph Databases -- 3 The Proposed Method -- 4 Experiments -- 4.1 Datasets and Experimental Setting -- 4.2 Experimental Results -- 5 Conclusion -- References -- Leveraging Distributed Representations of Elements in Triples for Predicate Linking -- 1 Introduction -- 2 Problem Definition -- 3 Related Work -- 4 Approach -- 4.1 Statistical Pattern-Based Candidate Generation -- 4.2 Similarity-Based Candidate Generation -- 4.3 Candidate Selection -- 5 Experiment -- 5.1 Dataset -- 5.2 Setting |
Summary |
This volume constitutes the refereed proceedings of the 12th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2017, held in La Rioja, Spain, in June 2017. The 60 full papers published in this volume were carefully reviewed and selected from 130 submissions. They are organized in the following topical sections: data mining, knowledge discovery and big data; bioinspired models and evolutionary computing; learning algorithms; visual analysis and advanced data processing techniques; data mining applications; and hybrid intelligent applications |
Notes |
International conference proceedings |
|
Includes author index |
Bibliography |
Includes bibliographical references and author index |
Notes |
Online resource; title from PDF title page (SpringerLink, viewed June 16, 2017) |
Subject |
Artificial intelligence -- Congresses
|
|
Artificial intelligence -- Engineering applications -- Congresses
|
|
Artificial intelligence -- Industrial applications -- Congresses
|
|
Algorithms & data structures.
|
|
Programming & scripting languages: general.
|
|
Computer programming -- software development.
|
|
Information retrieval.
|
|
Artificial intelligence.
|
|
Computers -- Programming -- Algorithms.
|
|
Computers -- Programming Languages -- General.
|
|
Computers -- Programming -- General.
|
|
Computers -- Information Technology.
|
|
Computers -- Intelligence (AI) & Semantics.
|
|
Artificial intelligence
|
|
Artificial intelligence -- Engineering applications
|
|
Artificial intelligence -- Industrial applications
|
Genre/Form |
proceedings (reports)
|
|
Conference papers and proceedings
|
|
Conference papers and proceedings.
|
|
Actes de congrès.
|
Form |
Electronic book
|
Author |
Martínez de Pisón, Francisco Javier, editor
|
|
Urraca, Rubén, editor
|
|
Quintián, Héctor, editor.
|
|
Corchado, Emilio, editor.
|
ISBN |
9783319596501 |
|
3319596500 |
|
3319596497 |
|
9783319596495 |