Advances in intelligent data analysis XVI : 16th International Symposium, IDA 2017, London, UK, October 26-28, 2017, Proceedings /: 16th International Symposium, IDA 2017, London, UK, October 26-28, 2017, Proceedings. (2017)
- Record Type:
- Book
- Title:
- Advances in intelligent data analysis XVI : 16th International Symposium, IDA 2017, London, UK, October 26-28, 2017, Proceedings /: 16th International Symposium, IDA 2017, London, UK, October 26-28, 2017, Proceedings. (2017)
- Main Title:
- Advances in intelligent data analysis XVI : 16th International Symposium, IDA 2017, London, UK, October 26-28, 2017, Proceedings
- Other Titles:
- IDA 2017
Advances in intelligent data analysis 16 - Further Information:
- Note: Niall Adams, Allan Tucker, David Weston (eds.).
- Editors:
- Adams, Niall M, 1968-
Tucker, Allan
(University lecturer), Weston, David (David J.) - Other Names:
- International Symposium on Intelligent Data Analysis, 16th
- Contents:
- Improving chairlift security with deep learning -- Discovering motifs with variants in music databases -- Biclustering multivariate time series -- Visualization of topic-sentiment dynamics in crowdfunding projects -- Regression tree for bandits models in A/B testing -- Seasonal variation in collective mood via Twitter content and medical purchases -- Skin cancer detection in dermoscopy images using sub-region features -- Bucket selection : a model-independent diverse selection strategy for widening -- Interactive pattern sampling for characterizing unlabeled data -- Searching for spatio-temporal-keyword patterns in semantic trajectories -- Natural language analysis of online health forums -- Freudian slips : analysing the internal representations of a neural network from its mistakes -- KAPMiner : mining ordered association rules with constraints -- A dynamic adaptive questionnaire for improved disease diagnostics -- ABIDE : querying time-evolving sequences of temporal intervals -- The actors of history : narrative network analysis reveals the institutions of power in British society between 1800-1950 -- Learning DTW-preserving shapelets -- Droplet ensemble learning on drifting data streams -- Predictive clustering trees for hierarchical multi-target regression -- Identifying novel features from specimen data for the prediction of valuable field trips -- Adapting supervised classifiation algorithms to arbitrary weak label scenarios -- The combination of decision in crowdsImproving chairlift security with deep learning -- Discovering motifs with variants in music databases -- Biclustering multivariate time series -- Visualization of topic-sentiment dynamics in crowdfunding projects -- Regression tree for bandits models in A/B testing -- Seasonal variation in collective mood via Twitter content and medical purchases -- Skin cancer detection in dermoscopy images using sub-region features -- Bucket selection : a model-independent diverse selection strategy for widening -- Interactive pattern sampling for characterizing unlabeled data -- Searching for spatio-temporal-keyword patterns in semantic trajectories -- Natural language analysis of online health forums -- Freudian slips : analysing the internal representations of a neural network from its mistakes -- KAPMiner : mining ordered association rules with constraints -- A dynamic adaptive questionnaire for improved disease diagnostics -- ABIDE : querying time-evolving sequences of temporal intervals -- The actors of history : narrative network analysis reveals the institutions of power in British society between 1800-1950 -- Learning DTW-preserving shapelets -- Droplet ensemble learning on drifting data streams -- Predictive clustering trees for hierarchical multi-target regression -- Identifying novel features from specimen data for the prediction of valuable field trips -- Adapting supervised classifiation algorithms to arbitrary weak label scenarios -- The combination of decision in crowds when the number of reliable Annotator is scarce -- Estimating sequence similarity from contig sets -- Computational topology techniques for characterizing time-series data -- Improving cold-start recommendations with social-media trends and reputations -- Hierarchical novelty detection -- Towards automatic evaluation of asphalt irregularity using smartphone's sensors -- A structural benchmark for logical argumentation frameworks. … (more)
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2017
- Extent:
- 1 online resource (xiii, 348 pages), illustrations
- Subjects:
- 006.4
Computer science
Pattern recognition systems -- Congresses
Mathematical statistics -- Congresses
Mathematical statistics -- Data processing -- Congresses
Mathematical statistics
Mathematical statistics -- Data processing
Pattern recognition systems
Computers -- Database Management -- Data Mining
Computers -- System Administration -- Storage & Retrieval
Computers -- Information Technology
Computers -- Intelligence (AI) & Semantics
Data mining
Information retrieval
Artificial intelligence
Database management
Data mining
Information storage and retrieva
Artificial intelligence
Computers -- Database Management -- General
Databases
Electronic books
Conference papers and proceedings - Languages:
- English
- ISBNs:
- 9783319687650
3319687654 - Related ISBNs:
- 9783319687643
3319687646 - Notes:
- Note: Online resource; title from PDF title page (SpringerLink, viewed October 30, 2017).
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.366574
- Ingest File:
- 01_342.xml