Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Advances in Social Media Analysis / / edited by Mohamed Medhat Gaber, Mihaela Cocea, Nirmalie Wiratunga, Ayse Goker
| Advances in Social Media Analysis / / edited by Mohamed Medhat Gaber, Mihaela Cocea, Nirmalie Wiratunga, Ayse Goker |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (VII, 151 p. 29 illus.) |
| Disciplina | 302.231 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-319-18458-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Case-Studies in Mining User-Generated Reviews for Recommendation -- Mining Newsworthy Topics from Social Media -- Sentiment Analysis Using Supervised Learning with Domain-Adaptation and Sentence-Based Analysis -- Pattern-based Emotion Classification on Social Media -- Entity-based Opinion Mining from Text and Multimedia -- Predicting Emotion Labels for Chinese Microblog Texts. |
| Record Nr. | UNINA-9910299822403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Astronomy and Big Data : A Data Clustering Approach to Identifying Uncertain Galaxy Morphology / / by Kieran Jay Edwards, Mohamed Medhat Gaber
| Astronomy and Big Data : A Data Clustering Approach to Identifying Uncertain Galaxy Morphology / / by Kieran Jay Edwards, Mohamed Medhat Gaber |
| Autore | Edwards Kieran Jay |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (112 p.) |
| Disciplina | 520.222 |
| Collana | Studies in Big Data |
| Soggetto topico |
Computational intelligence
Artificial intelligence Observations, Astronomical Astronomy—Observations Data mining Computational Intelligence Artificial Intelligence Astronomy, Observations and Techniques Data Mining and Knowledge Discovery |
| ISBN | 3-319-06599-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Astronomy, Galaxies and Stars: An Overview -- Astronomical Data Mining -- Adopted Data Mining Methods -- Research Methodology -- Development of Data Mining Models -- Experimentation Results -- Conclusion and Future Work. |
| Record Nr. | UNINA-9910741140603321 |
Edwards Kieran Jay
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Federated learning systems : towards next-generation AI / / Muhammad Habib ur Rehman, Mohamed Medhat Gaber, editors
| Federated learning systems : towards next-generation AI / / Muhammad Habib ur Rehman, Mohamed Medhat Gaber, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (207 pages) |
| Disciplina | 006.31 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Machine learning
Computational intelligence Aprenentatge automàtic Intel·ligència computacional |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-70604-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910484494903321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Knowledge Discovery from Sensor Data [[electronic resource] ] : Second International Workshop, Sensor-KDD 2008, Las Vegas, NV, USA, August 24-27, 2008, Revised Selected Papers / / edited by Mohamed Medhat Gaber, Ranga Raju Vatsavai, Olufemi A. Omitaomu, João Gama, Nitesh V. Chawla, Auroop R. Ganguly
| Knowledge Discovery from Sensor Data [[electronic resource] ] : Second International Workshop, Sensor-KDD 2008, Las Vegas, NV, USA, August 24-27, 2008, Revised Selected Papers / / edited by Mohamed Medhat Gaber, Ranga Raju Vatsavai, Olufemi A. Omitaomu, João Gama, Nitesh V. Chawla, Auroop R. Ganguly |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
| Descrizione fisica | 1 online resource (IX, 227 p. 110 illus.) |
| Disciplina | 025.04 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Xarxes de sensors
Intel·ligència artificial Information storage and retrieval Computer communication systems Database management Data mining Pattern recognition Information Storage and Retrieval Computer Communication Networks Database Management Data Mining and Knowledge Discovery Pattern Recognition |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN |
1-280-38628-2
9786613564207 3-642-12519-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data Mining for Diagnostic Debugging in Sensor Networks: Preliminary Evidence and Lessons Learned -- Monitoring Incremental Histogram Distribution for Change Detection in Data Streams -- Situation-Aware Adaptive Visualization for Sensory Data Stream Mining -- Unsupervised Plan Detection with Factor Graphs -- WiFi Miner: An Online Apriori-Infrequent Based Wireless Intrusion System -- Probabilistic Analysis of a Large-Scale Urban Traffic Sensor Data Set -- Spatio-temporal Outlier Detection in Precipitation Data -- Large-Scale Inference of Network-Service Disruption upon Natural Disasters -- An Adaptive Sensor Mining Framework for Pervasive Computing Applications -- A Simple Dense Pixel Visualization for Mobile Sensor Data Mining -- Incremental Anomaly Detection Approach for Characterizing Unusual Profiles -- Spatiotemporal Neighborhood Discovery for Sensor Data. |
| Record Nr. | UNISA-996465607203316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Knowledge discovery from sensor data : second international workshop, Sensor-KDD 2008, Las Vegas, NV, USA, August 24-27, 2008 : revised selected papers / / Mohamed Medhat Gaber ... [et al.] (eds.)
| Knowledge discovery from sensor data : second international workshop, Sensor-KDD 2008, Las Vegas, NV, USA, August 24-27, 2008 : revised selected papers / / Mohamed Medhat Gaber ... [et al.] (eds.) |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | New York, : Springer, 2010 |
| Descrizione fisica | 1 online resource (IX, 227 p. 110 illus.) |
| Disciplina | 025.04 |
| Altri autori (Persone) | GaberMohamed Medhat |
| Collana |
Lecture notes in computer science
LNCS sublibrary. SL 3, Information systems and application, incl. Internet/Web and HCI |
| Soggetto topico |
Data mining
Multisensor data fusion Sensor networks Xarxes de sensors Intel·ligència artificial |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN |
1-280-38628-2
9786613564207 3-642-12519-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data Mining for Diagnostic Debugging in Sensor Networks: Preliminary Evidence and Lessons Learned -- Monitoring Incremental Histogram Distribution for Change Detection in Data Streams -- Situation-Aware Adaptive Visualization for Sensory Data Stream Mining -- Unsupervised Plan Detection with Factor Graphs -- WiFi Miner: An Online Apriori-Infrequent Based Wireless Intrusion System -- Probabilistic Analysis of a Large-Scale Urban Traffic Sensor Data Set -- Spatio-temporal Outlier Detection in Precipitation Data -- Large-Scale Inference of Network-Service Disruption upon Natural Disasters -- An Adaptive Sensor Mining Framework for Pervasive Computing Applications -- A Simple Dense Pixel Visualization for Mobile Sensor Data Mining -- Incremental Anomaly Detection Approach for Characterizing Unusual Profiles -- Spatiotemporal Neighborhood Discovery for Sensor Data. |
| Altri titoli varianti | Sensor-KDD 2008 |
| Record Nr. | UNINA-9910483370003321 |
| New York, : Springer, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||