Advances in Knowledge Discovery and Data Mining 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I - neues Buch
2013, ISBN: 3642374522
2013 Kartoniert / Broschiert Data Warehousing, Data Mining, Informationsrückgewinnung, Information Retrieval, Künstliche Intelligenz, Bigdata; recommendersystems; SocialMediaMining; Tex… Mehr…
Achtung-Buecher.de MARZIES.de Buch- und Medienhandel, 14621 Schönwalde-Glien Versandkosten:Versandkostenfrei innerhalb der BRD. (EUR 0.00) Details... |
Advances in Knowledge Discovery and Data Mining 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I - Taschenbuch
2013, ISBN: 3642374522
[EAN: 9783642374524], Gebraucht, guter Zustand, [PU: Springer Berlin], BIG DATA,TEXT CLASSIFICATION,RECOMMENDER SYSTEMS,TRANSFER LEARNING,SOCIAL MEDIA MINING,, Buchschnitt verkürzt- gepfl… Mehr…
AbeBooks.de Buchpark, Trebbin, Germany [83435977] [Rating: 5 (von 5)] NOT NEW BOOK. Versandkosten:Versandkostenfrei. (EUR 0.00) Details... |
Advances in Knowledge Discovery and Data Mining 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I - gebrauchtes Buch
2013, ISBN: 9783642374524
[PU: Springer Berlin], Buchschnitt verkürzt- gepflegter, sauberer Zustand - Ausgabejahr 2013 23635902/12, DE, [SC: 0.00], gebraucht; sehr gut, gewerbliches Angebot, 2013, Banküberweisung,… Mehr…
booklooker.de |
2013, ISBN: 3642374522
Advances in Knowledge Discovery and Data Mining ab 84.49 € als Taschenbuch: 17th Pacific-Asia Conference PAKDD 2013 Gold Coast Australia April 14-17 2013 Proceedings Part I. Auflage 2013.… Mehr…
Hugendubel.de Nr. 20415522. Versandkosten:, , DE. (EUR 0.00) Details... |
2013, ISBN: 9783642374524
17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I, Buch, Softcover, [PU: Springer Berlin], Springer Berlin, 2013
lehmanns.de Versandkosten:Versand in 10-14 Tagen. (EUR 0.00) Details... |
Advances in Knowledge Discovery and Data Mining 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I - neues Buch
2013, ISBN: 3642374522
2013 Kartoniert / Broschiert Data Warehousing, Data Mining, Informationsrückgewinnung, Information Retrieval, Künstliche Intelligenz, Bigdata; recommendersystems; SocialMediaMining; Tex… Mehr…
Pei, Jian, Vincent S. Tseng und Longbing Cao:
Advances in Knowledge Discovery and Data Mining 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I - Taschenbuch2013, ISBN: 3642374522
[EAN: 9783642374524], Gebraucht, guter Zustand, [PU: Springer Berlin], BIG DATA,TEXT CLASSIFICATION,RECOMMENDER SYSTEMS,TRANSFER LEARNING,SOCIAL MEDIA MINING,, Buchschnitt verkürzt- gepfl… Mehr…
Advances in Knowledge Discovery and Data Mining 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I - gebrauchtes Buch
2013
ISBN: 9783642374524
[PU: Springer Berlin], Buchschnitt verkürzt- gepflegter, sauberer Zustand - Ausgabejahr 2013 23635902/12, DE, [SC: 0.00], gebraucht; sehr gut, gewerbliches Angebot, 2013, Banküberweisung,… Mehr…
2013, ISBN: 3642374522
Advances in Knowledge Discovery and Data Mining ab 84.49 € als Taschenbuch: 17th Pacific-Asia Conference PAKDD 2013 Gold Coast Australia April 14-17 2013 Proceedings Part I. Auflage 2013.… Mehr…
2013, ISBN: 9783642374524
17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I, Buch, Softcover, [PU: Springer Berlin], Springer Berlin, 2013
Bibliographische Daten des bestpassenden Buches
Autor: | |
Titel: | |
ISBN-Nummer: |
Detailangaben zum Buch - Advances in Knowledge Discovery and Data Mining
EAN (ISBN-13): 9783642374524
ISBN (ISBN-10): 3642374522
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2013
Herausgeber: Springer Berlin
Buch in der Datenbank seit 2014-02-20T19:14:35+01:00 (Zurich)
Detailseite zuletzt geändert am 2023-06-08T16:55:11+02:00 (Zurich)
ISBN/EAN: 9783642374524
ISBN - alternative Schreibweisen:
3-642-37452-2, 978-3-642-37452-4
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: moto, vincent, long, hiro, jian, tseng, pei
Titel des Buches: data net ufo, conference proceedings, knowledge, australia our, gold australia, data mining, pei, gold coast, pacific discovery
Daten vom Verlag:
Autor/in: Jian Pei; Vincent S. Tseng; Longbing Cao; Hiroshi Motoda; Guandong Xu
Titel: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Advances in Knowledge Discovery and Data Mining - 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I
Verlag: Springer; Springer Berlin
610 Seiten
Erscheinungsjahr: 2013-03-20
Berlin; Heidelberg; DE
Gedruckt / Hergestellt in Niederlande.
Sprache: Englisch
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
POD
XXII, 610 p. 199 illus.
BC; Hardcover, Softcover / Informatik, EDV/Informatik; Data Mining; Verstehen; Informatik; big data; recommender systems; social media mining; text classification; transfer learning; Data Mining and Knowledge Discovery; Artificial Intelligence; Information Storage and Retrieval; Wissensbasierte Systeme, Expertensysteme; Künstliche Intelligenz; Informationsrückgewinnung, Information Retrieval; Data Warehousing; EA
Discovering Local Subgroups, with an Application to Fraud Detection.- PUF-Tree: A Compact Tree Structure for Frequent Pattern Mining of Uncertain Data.- Frequent Pattern Mining in Attributed Trees.- Mining Frequent Patterns from Human Interactions in Meetings Using Directed Acyclic Graphs.- ClaSP: An Efficient Algorithm for Mining Frequent Closed Sequences.- Efficient Mining of Contrast Patterns on Large Scale Imbalanced Real-Life Data.- Online Cross-Lingual PLSI for Evolutionary Theme Patterns Analysis.- F-Trail: Finding Patterns in Taxi Trajectories.- Mining Appliance Usage Patterns in Smart Home Environment.- Computational Models of Stress in Reading Using Physiological and Physical Sensor Data.- Latent Patient Profile Modelling and Applications with Mixed-Variate Restricted Boltzmann Machine.- MassBayes: A New Generative Classifier with Multi-dimensional Likelihood Estimation.- Fast and Effective Single Pass Bayesian Learning.- Sparse Reductions for Fixed-Size Least Squares Support Vector Machines on Large Scale Data.- Discovery of Regional Co-location Patterns with k-Nearest Neighbor Graph.- Spectral Decomposition for Optimal Graph Index Prediction.- Patterns amongst Competing Task Frequencies: Super-Linearities, and the Almond-DG Model.- Node Classification in Social Network via a Factor Graph Model.- Fast Graph Stream Classification Using Discriminative Clique Hashing.- Mining Interesting Itemsets in Graph Datasets.- Robust Synchronization-Based Graph Clustering.- Efficient Mining of Combined Subspace and Subgraph Clusters in Graphs with Feature Vectors.- Exploiting Temporal Information in a Two-Stage Classification Framework for Content-Based Depression Detection.- EEG-Based Person Verification Using Multi-Sphere SVDD and UBM.- Measuring Reproducibility of High-Throughput Deep-Sequencing Experiments Based on Self-adaptive Mixture Copula.- Mining Representative Movement Patterns through Compression.- NARGES: Prediction Model for Informed Routing in a Communications Network.- Mining Usage Traces of Mobile Apps for Dynamic Preference Prediction.- Leveraging Hybrid Citation Context for Impact Summarization.- Optimal Allocation of High Dimensional Assets through Canonical Vines.- Inducing Context Gazetteers from Encyclopedic Databases for Named Entity Recognition.- An Optimization Method for Proportionally Diversifying Search Results.- Joint Naıve Bayes and LDA for Unsupervised Sentiment Analysis.- An Unsupervised Learning Model to Perform Side Channel Attack.- Decisive Supervised Learning.- Learning Overlap Optimization for Domain Decomposition Methods.- CLUEKR : CLUstering Based Efficient kNN Regression.- AREM: A Novel Associative Regression Model Based on EM Algorithm.- One-Class Transfer Learning with Uncertain Data.- Time Series Forecasting Using Distribution Enhanced Linear Regression.- Twin Bridge Transfer Learning for Sparse Collaborative Filtering.- Dimensionality Reduction with Dimension Selection.- Multi-View Visual Classification via a Mixed-Norm Regularizer.- Mining Specific Features for Acquiring User Information Needs.- Ensemble-Based Wrapper Methods for Feature Selection and Class Imbalance Learning.- Exploring Groups from Heterogeneous Data via Sparse Learning.- Multiplex Topic Models.- Integrating Clustering and Ranking on Hybrid Heterogeneous Information Network.- Learning from Multiple Observers with Unknown Expertise.State-of-the-art research Fast track conference proceedings Up-to-date results in knowledge discovery and data mining
Weitere, andere Bücher, die diesem Buch sehr ähnlich sein könnten:
Neuestes ähnliches Buch:
9780262560979 Fayyad, U: Advances in Knowledge Discovery & Data Mining (American Association for Artificial Intelligence) (Fayyad, Usama M., Gregory Piatetsky-Shapiro und Padhraic Smyth)
< zum Archiv...