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Advances in Intelligent Data Analysis XXII [[electronic resource] ] : 22nd International Symposium on Intelligent Data Analysis, IDA 2024, Stockholm, Sweden, April 24–26, 2024, Proceedings, Part II / / edited by Ioanna Miliou, Nico Piatkowski, Panagiotis Papapetrou
| Advances in Intelligent Data Analysis XXII [[electronic resource] ] : 22nd International Symposium on Intelligent Data Analysis, IDA 2024, Stockholm, Sweden, April 24–26, 2024, Proceedings, Part II / / edited by Ioanna Miliou, Nico Piatkowski, Panagiotis Papapetrou |
| Autore | Miliou Ioanna |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (286 pages) |
| Disciplina | 005.7 |
| Altri autori (Persone) |
PiatkowskiNico
PapapetrouPanagiotis |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Database management
Education - Data processing Image processing - Digital techniques Computer vision Artificial intelligence Machine learning Natural language processing (Computer science) Database Management System Computers and Education Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Machine Learning Natural Language Processing (NLP) |
| ISBN | 3-031-58553-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910847582103321 |
Miliou Ioanna
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Intelligent Data Analysis XXII : 22nd International Symposium on Intelligent Data Analysis, IDA 2024, Stockholm, Sweden, April 24–26, 2024, Proceedings, Part I / / edited by Ioanna Miliou, Nico Piatkowski, Panagiotis Papapetrou
| Advances in Intelligent Data Analysis XXII : 22nd International Symposium on Intelligent Data Analysis, IDA 2024, Stockholm, Sweden, April 24–26, 2024, Proceedings, Part I / / edited by Ioanna Miliou, Nico Piatkowski, Panagiotis Papapetrou |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (XVI, 268 p. 74 illus., 61 illus. in color.) |
| Disciplina | 005.7 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Database management
Education - Data processing Image processing - Digital techniques Computer vision Artificial intelligence Machine learning Natural language processing (Computer science) Database Management System Computers and Education Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Machine Learning Natural Language Processing (NLP) |
| ISBN | 3-031-58547-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910847588803321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine learning under resource constraints Fundamentals / / edited by Katharina Morik and Peter Marwedel
| Machine learning under resource constraints Fundamentals / / edited by Katharina Morik and Peter Marwedel |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Berlin ; ; Boston : , : De Gruyter, , [2023] |
| Descrizione fisica | 1 online resource (xiii, 491 pages) : illustrations (chiefly colour) |
| Disciplina | 006.31 |
| Collana | De Gruyter STEM |
| Soggetto topico |
Machine learning
SCIENCE / Chemistry / General |
| Soggetto non controllato |
Artificial Intelligence
Big Data and Machine Learning Cyber-physical systems Data mining for Ubiquitous System Software Embedded Systems and Machine Learning Highly Distributed Data ML on Small devices Machine learning for knowledge discovery Machine learning in high-energy physics Resource-Aware Machine Learning Resource-Constrained Data Analysis |
| ISBN | 3-11-078594-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ; 1 Introduction / Katharina Morik, Jian-Jia Chen -- ; 1.1 Embedded Systems and Sustainability -- ; 1.2 The Energy Consumption of Machine Learning -- ; 1.3 Memory Demands of Machine Learning -- ; 1.4 Structure of this Book -- ; 2 Data Gathering and Resource Measuring -- ; 2.1 Declarative Stream-Based Acquisition and Processing of OS Data with kCQL / Christoph Borchert, Jochen Streicher, Alexander Lochmann,Olaf Spinczyk -- ; 2.2 PhyNetLab Test Bed / Mojtaba Masoudinejad, Markus Buschhoff -- ; 2.3 Zero-Power/Low-Power Sensing / Andres Gomez, Lars Suter, Simon Mayer -- ; 3 Streaming Data, Small Devices -- ; 3.1 Summary Extraction from Streams / Sebastian Buschjäger, Katharina Morik -- ; 3.2 Coresets and Sketches for Regression Problems on Data Streams and Distributed Data / Alexander Munteanu -- ; 4 Structured Data -- ; 4.1 Spatio-Temporal Random Fields / Nico Piatkowski, Katharina Morik -- ; 4.2 The Weisfeiler-Leman Method for Machine Learning with Graphs / Nils Kriege, Christopher Morris -- ; 4.3 Deep Graph Representation Learning / Matthias Fey, Frank Weichert -- ; 4.4 High-Quality Parallel Max-Cut Approximation Algorithms for Shared Memory / Nico Bertram, Jonas Ellert, Johannes Fischer -- ; 4.5 Millions of Formulas / Lukas Pfahler -- ; 5 Cluster Analysis -- ; 5.1 Sparse Partitioning Around Medoids / Lars Lenssen, Erich Schubert -- ; 5.2 Clustering of Polygonal Curves and Time Series / Amer Krivošija -- ; 5.3 Data Aggregation for Hierarchical Clustering / Erich Schubert, Andreas Lang -- ; 5.4 Matrix Factorization with Binary Constraints / Sibylle Hess ; 6 Hardware-Aware Execution -- ; 6.1 FPGA-Based Backpropagation Engine for Feed-Forward Neural Networks / Wayne Luk, Ce Guo -- ; 6.2 Processor-Specific Code Transformation / Henning Funke, Jens Teubner -- ; 6.3 Extreme Multicore Classification / Erik Schultheis, Rohit Babbar -- ; 6.4 Optimization of ML on Modern Multicore Systems / Helena Kotthaus, Peter Marwedel -- 7 Memory Awareness -- ; 7.1 Efficient Memory Footprint Reduction / Helena Kotthaus, Peter Marwedel -- ; 7.2 Machine Learning Based on Emerging Memories / Mikail Yayla, Sebastian Buschjäger, Hussam Amrouch -- ; 7.3 Cache-Friendly Execution of Tree Ensembles / Sebastian Buschjäger, Kuan-Hsun Chen -- ; 8 Communication Awareness -- ; 8.1 Timing-Predictable Learning and Multiprocessor Synchronization / Kuan-Hsun Chen, Junjie Shi -- ; 8.2 Communication Architecture for Heterogeneous Hardware / Henning Funke, Jens Teubner -- ; 9 Energy Awareness -- ; 9.1 Integer Exponential Families / Nico Piatkowski -- ; 9.2 Power Consumption Analysis and Uplink Transmission Power / Robert Falkenberg. |
| Record Nr. | UNISA-996503570003316 |
| Berlin ; ; Boston : , : De Gruyter, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine learning under resource constraints Fundamentals / / edited by Katharina Morik and Peter Marwedel
| Machine learning under resource constraints Fundamentals / / edited by Katharina Morik and Peter Marwedel |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Berlin ; ; Boston : , : De Gruyter, , [2023] |
| Descrizione fisica | 1 online resource (xiii, 491 pages) : illustrations (chiefly colour) |
| Disciplina | 006.31 |
| Collana | De Gruyter STEM |
| Soggetto topico |
Machine learning
SCIENCE / Chemistry / General |
| Soggetto non controllato |
Artificial Intelligence
Big Data and Machine Learning Cyber-physical systems Data mining for Ubiquitous System Software Embedded Systems and Machine Learning Highly Distributed Data ML on Small devices Machine learning for knowledge discovery Machine learning in high-energy physics Resource-Aware Machine Learning Resource-Constrained Data Analysis |
| ISBN | 3-11-078594-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ; 1 Introduction / Katharina Morik, Jian-Jia Chen -- ; 1.1 Embedded Systems and Sustainability -- ; 1.2 The Energy Consumption of Machine Learning -- ; 1.3 Memory Demands of Machine Learning -- ; 1.4 Structure of this Book -- ; 2 Data Gathering and Resource Measuring -- ; 2.1 Declarative Stream-Based Acquisition and Processing of OS Data with kCQL / Christoph Borchert, Jochen Streicher, Alexander Lochmann,Olaf Spinczyk -- ; 2.2 PhyNetLab Test Bed / Mojtaba Masoudinejad, Markus Buschhoff -- ; 2.3 Zero-Power/Low-Power Sensing / Andres Gomez, Lars Suter, Simon Mayer -- ; 3 Streaming Data, Small Devices -- ; 3.1 Summary Extraction from Streams / Sebastian Buschjäger, Katharina Morik -- ; 3.2 Coresets and Sketches for Regression Problems on Data Streams and Distributed Data / Alexander Munteanu -- ; 4 Structured Data -- ; 4.1 Spatio-Temporal Random Fields / Nico Piatkowski, Katharina Morik -- ; 4.2 The Weisfeiler-Leman Method for Machine Learning with Graphs / Nils Kriege, Christopher Morris -- ; 4.3 Deep Graph Representation Learning / Matthias Fey, Frank Weichert -- ; 4.4 High-Quality Parallel Max-Cut Approximation Algorithms for Shared Memory / Nico Bertram, Jonas Ellert, Johannes Fischer -- ; 4.5 Millions of Formulas / Lukas Pfahler -- ; 5 Cluster Analysis -- ; 5.1 Sparse Partitioning Around Medoids / Lars Lenssen, Erich Schubert -- ; 5.2 Clustering of Polygonal Curves and Time Series / Amer Krivošija -- ; 5.3 Data Aggregation for Hierarchical Clustering / Erich Schubert, Andreas Lang -- ; 5.4 Matrix Factorization with Binary Constraints / Sibylle Hess ; 6 Hardware-Aware Execution -- ; 6.1 FPGA-Based Backpropagation Engine for Feed-Forward Neural Networks / Wayne Luk, Ce Guo -- ; 6.2 Processor-Specific Code Transformation / Henning Funke, Jens Teubner -- ; 6.3 Extreme Multicore Classification / Erik Schultheis, Rohit Babbar -- ; 6.4 Optimization of ML on Modern Multicore Systems / Helena Kotthaus, Peter Marwedel -- 7 Memory Awareness -- ; 7.1 Efficient Memory Footprint Reduction / Helena Kotthaus, Peter Marwedel -- ; 7.2 Machine Learning Based on Emerging Memories / Mikail Yayla, Sebastian Buschjäger, Hussam Amrouch -- ; 7.3 Cache-Friendly Execution of Tree Ensembles / Sebastian Buschjäger, Kuan-Hsun Chen -- ; 8 Communication Awareness -- ; 8.1 Timing-Predictable Learning and Multiprocessor Synchronization / Kuan-Hsun Chen, Junjie Shi -- ; 8.2 Communication Architecture for Heterogeneous Hardware / Henning Funke, Jens Teubner -- ; 9 Energy Awareness -- ; 9.1 Integer Exponential Families / Nico Piatkowski -- ; 9.2 Power Consumption Analysis and Uplink Transmission Power / Robert Falkenberg. |
| Record Nr. | UNINA-9910774817103321 |
| Berlin ; ; Boston : , : De Gruyter, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Solving Large Scale Learning Tasks. Challenges and Algorithms [[electronic resource] ] : Essays Dedicated to Katharina Morik on the Occasion of Her 60th Birthday / / edited by Stefan Michaelis, Nico Piatkowski, Marco Stolpe
| Solving Large Scale Learning Tasks. Challenges and Algorithms [[electronic resource] ] : Essays Dedicated to Katharina Morik on the Occasion of Her 60th Birthday / / edited by Stefan Michaelis, Nico Piatkowski, Marco Stolpe |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XIV, 387 p. 73 illus.) |
| Disciplina | 005.7565 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Computer communication systems Algorithms Data mining Database management Artificial Intelligence Information Systems Applications (incl. Internet) Computer Communication Networks Algorithm Analysis and Problem Complexity Data Mining and Knowledge Discovery Database Management |
| ISBN | 3-319-41706-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Online Social Networks Event Detection -- Detecting Events in Online Social Networks: Definitions, Trends and Challenges -- Why do we need data privacy -- Sharing Data with Guaranteed Privacy -- Distributed Support Vector Machines -- Big Data Classification — Aspects on Many Features -- Knowledge Discovery from Complex High Dimensional Data -- Local Pattern Detection in Attributed Graphs -- Advances in Exploratory Pattern Analytics on Ubiquitous Data and Social Media -- Understanding Human Mobility with Big Data -- On Event Detection from Spatial Time series for Urban Traffic Applications -- Compressible Reparametrization of Time-Variant Linear Dynamical Systems -- Detection of Local Intensity Changes in Grayscale Images with Robust Methods for Time-Series Analysis -- SCHEP — A Geometric Quality Measure for Regression Rule Sets, Gauging Ranking Consistency Throughout the Real-Valued Target Space -- Bayesian Ordinal Aggregation of Peer Assessments: A Case Study on KDD 2015 -- Collaborative on line learning of an action model -- Ontology-based Classification — Application of Machine Learning Concepts without Learning -- Deep Distant Supervision: Learning Statistical Relational Models for Weak Supervision in Natural Language Extraction -- Supervised Extraction of Usage Patterns in Different Document Representations -- Data-Driven Analyses of Electronic Text Books -- k-Morik: Mining Patterns to Classify Cartified Images of Katharina. |
| Record Nr. | UNISA-996465692903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Solving Large Scale Learning Tasks. Challenges and Algorithms : Essays Dedicated to Katharina Morik on the Occasion of Her 60th Birthday / / edited by Stefan Michaelis, Nico Piatkowski, Marco Stolpe
| Solving Large Scale Learning Tasks. Challenges and Algorithms : Essays Dedicated to Katharina Morik on the Occasion of Her 60th Birthday / / edited by Stefan Michaelis, Nico Piatkowski, Marco Stolpe |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XIV, 387 p. 73 illus.) |
| Disciplina | 005.7565 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Computer communication systems Algorithms Data mining Database management Artificial Intelligence Information Systems Applications (incl. Internet) Computer Communication Networks Algorithm Analysis and Problem Complexity Data Mining and Knowledge Discovery Database Management |
| ISBN | 3-319-41706-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Online Social Networks Event Detection -- Detecting Events in Online Social Networks: Definitions, Trends and Challenges -- Why do we need data privacy -- Sharing Data with Guaranteed Privacy -- Distributed Support Vector Machines -- Big Data Classification — Aspects on Many Features -- Knowledge Discovery from Complex High Dimensional Data -- Local Pattern Detection in Attributed Graphs -- Advances in Exploratory Pattern Analytics on Ubiquitous Data and Social Media -- Understanding Human Mobility with Big Data -- On Event Detection from Spatial Time series for Urban Traffic Applications -- Compressible Reparametrization of Time-Variant Linear Dynamical Systems -- Detection of Local Intensity Changes in Grayscale Images with Robust Methods for Time-Series Analysis -- SCHEP — A Geometric Quality Measure for Regression Rule Sets, Gauging Ranking Consistency Throughout the Real-Valued Target Space -- Bayesian Ordinal Aggregation of Peer Assessments: A Case Study on KDD 2015 -- Collaborative on line learning of an action model -- Ontology-based Classification — Application of Machine Learning Concepts without Learning -- Deep Distant Supervision: Learning Statistical Relational Models for Weak Supervision in Natural Language Extraction -- Supervised Extraction of Usage Patterns in Different Document Representations -- Data-Driven Analyses of Electronic Text Books -- k-Morik: Mining Patterns to Classify Cartified Images of Katharina. |
| Record Nr. | UNINA-9910483076803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||