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From Opinion Mining to Financial Argument Mining
From Opinion Mining to Financial Argument Mining
Autore Chen Chung-Chi
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (102 pages)
Altri autori (Persone) HuangHen-Hsen
ChenHsin-Hsi
Collana SpringerBriefs in Computer Science
Soggetto topico Natural language & machine translation
Data mining
Algorithms & data structures
Artificial intelligence
Information technology: general issues
Soggetto non controllato Natural Language Processing (NLP)
Data Mining and Knowledge Discovery
Data Structures and Information Theory
Artificial Intelligence
Computer Applications
Data Science
Computer and Information Systems Applications
Open Access
financial opinion mining
text mining in finance
financial technology application
FinTech
argument mining in finance
opinion quality evaluation
numeral understanding
Natural language & machine translation
Data mining
Expert systems / knowledge-based systems
Algorithms & data structures
Information theory
Information technology: general issues
ISBN 981-16-2881-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996464443103316
Chen Chung-Chi  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
From Opinion Mining to Financial Argument Mining
From Opinion Mining to Financial Argument Mining
Autore Chen Chung-Chi
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (102 pages)
Altri autori (Persone) HuangHen-Hsen
ChenXinxi
Collana SpringerBriefs in Computer Science
Soggetto topico Natural language & machine translation
Data mining
Algorithms & data structures
Artificial intelligence
Information technology: general issues
Tractament del llenguatge natural (Informàtica)
Traducció automàtica
Mineria de dades
Algorismes
Estructures de dades (Informàtica)
Intel·ligència artificial
Accés obert
Teoria de la informació
Soggetto genere / forma Llibres electrònics
Soggetto non controllato Natural Language Processing (NLP)
Data Mining and Knowledge Discovery
Data Structures and Information Theory
Artificial Intelligence
Computer Applications
Data Science
Computer and Information Systems Applications
Open Access
financial opinion mining
text mining in finance
financial technology application
FinTech
argument mining in finance
opinion quality evaluation
numeral understanding
Natural language & machine translation
Data mining
Expert systems / knowledge-based systems
Algorithms & data structures
Information theory
Information technology: general issues
ISBN 981-16-2881-5
Classificazione COM004000COM018000COM021030COM031000COM073000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910482868303321
Chen Chung-Chi  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Matching minors in bipartite graphs
Matching minors in bipartite graphs
Autore Wiederrecht Sebastian
Pubbl/distr/stampa Berlin, : Universitätsverlag der Technischen Universität Berlin, 2022
Descrizione fisica 1 electronic resource (476 p.)
Collana Foundations of computing
Soggetto topico Algorithms & data structures
Soggetto non controllato matching minor; structural graph theory; bipartite; perfect matching
ISBN 3-7983-3253-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910582201003321
Wiederrecht Sebastian  
Berlin, : Universitätsverlag der Technischen Universität Berlin, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Sublinear Computation Paradigm [[electronic resource] ] : Algorithmic Revolution in the Big Data Era
Sublinear Computation Paradigm [[electronic resource] ] : Algorithmic Revolution in the Big Data Era
Autore Katoh Naoki
Pubbl/distr/stampa Singapore, : Springer Singapore Pte. Limited, 2021
Descrizione fisica 1 online resource (403 p.)
Altri autori (Persone) HigashikawaYuya
ItoHiro
NagaoAtsuki
ShibuyaTetsuo
SljokaAdnan
TanakaKazuyuki
UnoYushi
Soggetto topico Algorithms & data structures
Numerical analysis
Soggetto non controllato Sublinear Algorithms
polynomial time algorithms
Constant-Time Algorithms
Sublinear Computation Paradigm
open access
ISBN 981-16-4095-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- Part I Introduction -- 1 What Is the Sublinear Computation Paradigm? -- 1.1 We Are in the Era of Big Data -- 1.2 Theory of Computational Complexity and Polynomial-Time Algorithms -- 1.3 Polynomial-Time Algorithms and Sublinear-Time Algorithms -- 1.3.1 A Brief History of Polynomial-Time Algorithms -- 1.3.2 Emergence of Sublinear-Time Algorithms -- 1.3.3 Property Testing and Parameter Testing -- 1.4 Ways to Decrease Computational Resources -- 1.4.1 Streaming Algorithms -- 1.4.2 Compression -- 1.4.3 Succinct Data Structures
1.5 Need for the Sublinear Computation Paradigm -- 1.5.1 Sublinear and Polynomial Computation Are Both Important -- 1.5.2 Research Project ABD -- 1.5.3 The Organization of This Book -- References -- Part II Sublinear Algorithms -- 2 Property Testing on Graphs and Games -- 2.1 Introduction -- 2.2 Basic Terms and Definitions for Property Testing -- 2.2.1 Graphs and the Three Models for Property Testing -- 2.2.2 Properties, Distances, and Testers -- 2.3 Important Known Results in Property Testing on Graphs -- 2.3.1 Results for the Dense-Graph Model -- 2.3.2 Results for the Bounded-Degree Model
2.3.3 Results for the General-Graph Model -- 2.4 Characterization of Testability on Bounded-Degree Digraphs -- 2.4.1 Bounded-Degree Model of Digraphs -- 2.4.2 Monotone Properties and Hereditary Properties -- 2.4.3 Characterizations -- 2.4.4 An Idea to Extend the Characterizations Beyond Monotone and Hereditary -- 2.5 Testable EXPTIME-Complete Games -- 2.5.1 Definitions -- 2.5.2 Testers for Generalized Chess, Shogi, and Xiangqi -- 2.6 Summary -- References -- 3 Constant-Time Algorithms for Continuous Optimization Problems -- 3.1 Introduction -- 3.2 Graph Limit Theory
3.3 Quadratic Function Minimization -- 3.3.1 Proof of Theorem 3.1 -- 3.4 Tensor Decomposition -- 3.4.1 Preliminaries -- 3.4.2 Proof of Theorem 3.2 -- 3.4.3 Proof of Lemma 3.4 -- 3.4.4 Proof of Lemma 3.5 -- References -- 4 Oracle-Based Primal-Dual Algorithms for Packing and Covering Semidefinite Programs -- 4.1 Packing and Covering Semidefinite Programs -- 4.2 Applications -- 4.2.1 SDP relaxation for Robust MaxCut -- 4.2.2 Mahalanobis Distance Learning -- 4.2.3 Related Work -- 4.3 General Framework for Packing-Covering SDPs -- 4.4 Scalar Algorithms
4.4.1 Scalar MWU Algorithm for (Packing-I)-(Covering-I) -- 4.4.2 Scalar Logarithmic Potential Algorithm For (Packing-I)-(Covering-I) -- 4.5 Matrix Algorithms -- 4.5.1 Matrix MWU Algorithm For (Covering-II)-(Packing-II) -- 4.5.2 Matrix Logarithmic Potential Algorithm For (Packing-I)-(Covering-I) -- 4.5.3 Matrix Logarithmic Potential Algorithm For (Packing-II)-(Covering-II) -- References -- 5 Almost Linear Time Algorithms for Some Problems on Dynamic Flow Networks -- 5.1 Introduction -- 5.2 Preliminaries -- 5.3 Objective Functions -- 5.3.1 Objective Functions for the 1-Sink Problem
5.3.2 Objective Functions for k-Sink
Record Nr. UNISA-996464552103316
Katoh Naoki  
Singapore, : Springer Singapore Pte. Limited, 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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