default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDSAA 2015: Paris, France
- 2015 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2015, Campus des Cordeliers, Paris, France, October 19-21, 2015. IEEE 2015, ISBN 978-1-4673-8272-4
- Serge Abiteboul:
Toward personal knowledge bases. XI-XVI - Florence Forbes, Wray L. Buntine:
Special session on trends & controversies in data science (TCDS). XVII-XXVIII - Eric Moulines:
The sexy job in the next ten years will be statisticians. XXIX-XXXVI - Gunter Röth:
Tutorial 1: NVIDIA's platform for Deep Neural Networks. XXXVII-XXXIX - Yehezkel S. Resheff, Shay Rotics
, Ran Nathan, Daphna Weinshall:
Matrix factorization approach to behavioral mode analysis from acceleration data. 1-6 - Xavier Renard, Maria Rifqi, Walid Erray, Marcin Detyniecki:
Random-shapelet: An algorithm for fast shapelet discovery. 1-10 - Kohei Miyaguchi, Kenji Yamanishi:
On-line detection of continuous changes in stochastic processes. 1-9 - Antonio Ridi, Nikos Zarkadis, Christophe Gisler, Jean Hennebert:
Duration models for activity recognition and prediction in buildings using Hidden Markov Models. 1-10 - Haider Syed, Amar K. Das:
Temporal Needleman-Wunsch. 1-9 - Claudio Hartmann, Martin Hahmann, Wolfgang Lehner, Frank Rosenthal:
Exploiting big data in time series forecasting: A cross-sectional approach. 1-10 - Vo Thanh Vinh, Duong Tuan Anh:
Compression rate distance measure for time series. 1-10 - Nathalie Japkowicz, Vincent Barnabe-Lortie, Shawn Horvatic, Jie Zhou:
Multi-class learning using data driven ECOC with deep search and re-balancing. 1-10 - Albert Thomas, Vincent Feuillard, Alexandre Gramfort:
Calibration of One-Class SVM for MV set estimation. 1-9 - Budhaditya Saha, Sunil Gupta, Svetha Venkatesh:
Improved risk predictions via sparse imputation of patient conditions in electronic medical records. 1-10 - Bryce Nicholson, Jing Zhang, Victor S. Sheng, Zhiheng Wang:
Label noise correction methods. 1-9 - Raphaël Puget, Nicolas Baskiotis:
Hierarchical label partitioning for large scale classification. 1-10 - Sathit Prasomphan:
Detecting human emotion via speech recognition by using speech spectrogram. 1-10 - Sihong Xie, Qingbo Hu, Jingyuan Zhang, Philip S. Yu:
An effective and economic bi-level approach to ranking and rating spam detection. 1-10 - Abdul Wahid, Xiaoying Gao, Peter Andreae:
Multi-objective clustering ensemble for high-dimensional data based on Strength Pareto Evolutionary Algorithm (SPEA-II). 1-9 - Marek Smieja, Jacek Tabor:
Spherical wards clustering and generalized Voronoi diagrams. 1-10 - Tahani Alqurashi, Wenjia Wang:
A new consensus function based on dual-similarity measurements for clustering ensemble. 1-9 - Luke K. McDowell:
Relational active learning for link-based classification. 1-10 - Ryan A. Rossi, Rong Zhou:
Scalable relational learning for large heterogeneous networks. 1-10 - Rajani Chulyadyo, Philippe Leray:
Integrating spatial information into probabilistic relational models. 1-8 - Satoshi Oyama, Yukino Baba, Ikki Ohmukai, Hiroaki Dokoshi, Hisashi Kashima:
From one star to three stars: Upgrading legacy open data using crowdsourcing. 1-9 - Amar Budhiraja, P. Krishna Reddy:
An approach to cover more advertisers in Adwords. 1-10 - Claire Vernade, Olivier Cappé:
Learning from missing data using selection bias in movie recommendation. 1-9 - Ahmad Abdel-Hafez, Yue Xu, Audun Jøsang:
An accurate rating aggregation method for generating item reputation. 1-8 - Bonnie J. Dorr, Craig S. Greenberg, Peter C. Fontana, Mark A. Przybocki, Marion Le Bras, Cathryn A. Ploehn, Oleg Aulov, Martial Michel, E. Jim Golden, Wo Chang:
The NIST data science initiative. 1-10 - Karamjit Singh, Gautam Shroff, Puneet Agarwal:
Predictive reliability mining for early warnings in populations of connected machines. 1-10 - Mayank Shrivastava, Maitreya Natu, Vaishali P. Sadaphal:
Towards predictable and risk-free enterprise systems. 1-7 - Pierre-Xavier Loeffel, Christophe Marsala, Marcin Detyniecki:
Classification with a reject option under Concept Drift: The Droplets algorithm. 1-9 - Andrea Romei, Salvatore Ruggieri, Franco Turini:
The layered structure of company share networks. 1-10 - Klaus Wehmuth, Artur Ziviani, Eric Fleury:
A unifying model for representing time-varying graphs. 1-10 - Yi Xu, Zhongfei (Mark) Zhang, Yaqing Zhang, Philip S. Yu:
Sensor network partitioning based on homogeneity. 1-10 - Seyed Hamid Mirisaee, Ahlame Douzal, Alexandre Termier:
Selecting representative instances from datasets. 1-10 - Yuan Sun, Shiwei Ye, Yi Sun, Tsunehiko Kameda:
Improved algorithms for exact and approximate boolean matrix decomposition. 1-10 - Michael Geilke, Andreas Karwath, Stefan Kramer:
Modeling recurrent distributions in streams using possible worlds. 1-9 - Alexander V. Bernstein, Alexander P. Kuleshov, Yury Yanovich:
Information preserving and locally isometric&conformal embedding via Tangent Manifold Learning. 1-9 - Giuseppe Jurman, Roberto Visintainer, Michele Filosi, Samantha Riccadonna, Cesare Furlanello:
The HIM glocal metric and kernel for network comparison and classification. 1-10 - Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme:
Learning hyperparameter optimization initializations. 1-10 - Alexander N. Gorban, Andrei Yu. Zinovyev:
Fast and user-friendly non-linear principal manifold learning by method of elastic maps. 1-9 - Babak Hosseini, Barbara Hammer:
Efficient metric learning for the analysis of motion data. 1-10 - Raunaq Vohra, Kratarth Goel, Jajati Keshari Sahoo:
Modeling temporal dependencies in data using a DBN-LSTM. 1-4 - Riccardo Guidotti, Michele Coscia, Dino Pedreschi, Diego Pennacchioli:
Behavioral entropy and profitability in retail. 1-10 - Shashwat Mishra, Vincent Leroy, Sihem Amer-Yahia:
Discovering characterizing regions for consumer products. 1-10 - Paolo Cintia, Fosca Giannotti, Luca Pappalardo, Dino Pedreschi, Marco Malvaldi:
The harsh rule of the goals: Data-driven performance indicators for football teams. 1-10 - Olivier Cavadenti, Víctor Codocedo, Jean-François Boulicaut, Mehdi Kaytoue:
When cyberathletes conceal their game: Clustering confusion matrices to identify avatar aliases. 1-10 - Sebastien Boyer, Ben U. Gelman, Benjamin Schreck, Kalyan Veeramachaneni:
Data science foundry for MOOCs. 1-10 - Pengsen Wang, Bin Wu, Bai Wang:
TSMH Graph Cube: A novel framework for large scale multi-dimensional network analysis. 1-10 - Majid Ali Khan, Mohammad Nazeeruddin, Shahabuddin Muhammad, Asif Ali:
A mining based approach for efficient enumeration of algebraic structures. 1-6 - Zhensong Qian, Oliver Schulte:
FactorBase : Multi-relational model learning with SQL all the way. 1-10 - Wonmoon Song, Myungwon Kim:
A text block context informations based multiple Web contents extraction. 1-8 - Ji-De Chen, Hung-Yu Kao:
LDA based semi-supervised learning from streaming short text. 1-8 - Sihong Xie, Jing Wang, Mohammad Shafkat Amin, Baoshi Yan, Anmol Bhasin, Clement T. Yu, Philip S. Yu:
A context-aware approach to detection of short irrelevant texts. 1-10 - Qianqian Chen, Liang Hu, Jia Xu, Wei Liu, Longbing Cao:
Document similarity analysis via involving both explicit and implicit semantic couplings. 1-10 - Han Xiao, Shou-De Lin, Mi-Yen Yeh, Phillip B. Gibbons, Claudia Eckert:
Learning better while sending less: Communication-efficient online semi-supervised learning in client-server settings. 1-10 - Robin Allesiardo, Raphaël Féraud:
EXP3 with drift detection for the switching bandit problem. 1-7 - Frédéric Cazals, Alix Lheritier:
Beyond two-sample-tests: Localizing data discrepancies in high-dimensional spaces. 1-10 - Che Ngufor, Sudhindra Upadhyaya, Dennis Murphree, Daryl J. Kor, Jyotishman Pathak:
Multi-task learning with selective cross-task transfer for predicting bleeding and other important patient outcomes. 1-8 - Jefrey Lijffijt, Eirini Spyropoulou, Bo Kang, Tijl De Bie:
P-N-RMiner: A generic framework for mining interesting structured relational patterns. 1-10 - Mehwish Alam, Amedeo Napoli:
Interactive exploration over RDF data using formal concept analysis. 1-10 - Cheng Zhou, Boris Cule, Bart Goethals:
Cohesion based co-location pattern mining. 1-10 - Jingyu Shao, Junfu Yin, Wei Liu, Longbing Cao:
Mining actionable combined patterns of high utility and frequency. 1-10 - Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung:
Nonparametric discovery of online mental health-related communities. 1-10 - Yoram Bachrach:
Human judgments in hiring decisions based on online social network profiles. 1-10 - Farnoosh Fathaliani, Mohamed Bouguessa:
A model-based approach for identifying spammers in social networks. 1-9 - M. Thejaswi, Sriniketh Vijayaraghavan, Avinash Das, P. Santhi Thilagam:
Dynamics of multi-campaign propagation in online social networks. 1-8 - Letizia Milli, Anna Monreale, Giulio Rossetti, Dino Pedreschi, Fosca Giannotti, Fabrizio Sebastiani:
Quantification in social networks. 1-10 - Belkacem Chikhaoui, Mauricio Chiazzaro, Shengrui Wang:
Discovering and tracking influencer-influencee relationships between online communities. 1-9 - Anne-Sarah Briand, Etienne Côme, Mohamed Khalil El Mahrsi, Latifa Oukhellou:
A mixture model clustering approach for temporal passenger pattern characterization in public transport. 1-10 - Carmela Comito, Domenico Talia:
Evaluating and predicting energy consumption of data mining algorithms on mobile devices. 1-8 - Nikos Pelekis, Stylianos Sideridis, Yannis Theodoridis:
Hermessem: A semantic-aware framework for the management and analysis of our LifeSteps. 1-10 - Ardi Imawan, Fadhilah Kurnia Putri, Seonga An, Han-You Jeong, Joonho Kwon:
Scalable extraction of timeline information from road traffic data using MapReduce. 1-8 - Jiawei Hu, Yanfeng Wang, Ya Zhang:
IOHMM for location prediction with missing data. 1-10 - Hakan Bagci, Pinar Karagoz:
Random walk based context-aware activity recommendation for location based social networks. 1-9 - Karthikeyan Natesan Ramamurthy, Moninder Singh, Yichong Yu, Jessica Aspis, Matthew Iames, Michael Peran, Qin S. Held:
A talent management tool using propensity to leave analytics. 1-10 - Wei Cao, Yves Demazeau, Longbing Cao, Weidong Zhu:
Financial crisis and global market couplings. 1-10 - Rapheal Olaniyan, Daniel Stamate, Lahcen Ouarbya, Doina Logofatu:
Sentiment and stock market volatility predictive modelling - A hybrid approach. 1-10 - Koosha Golmohammadi, Osmar R. Zaïane:
Time series contextual anomaly detection for detecting market manipulation in stock market. 1-10 - Pei-Yuan Zhou, Keith C. C. Chan:
An unsupervised attribute clustering algorithm for unsupervised feature selection. 1-7 - James Max Kanter, Kalyan Veeramachaneni:
Deep feature synthesis: Towards automating data science endeavors. 1-10 - Iman Kamkar, Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh:
Exploiting feature relationships towards stable feature selection. 1-10 - Jie Chen, Li Sun, YingLi Peng, Yun Huang:
Context weight considered for implicit feature extracting. 1-5 - Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Vincent S. Tseng:
Mining high-utility itemsets with various discount strategies. 1-10 - Ren-Hao Pan, Lin-Yu Tseng, I-En Liao, Chien-Lung Chan, K. Robert Lai, Kai-Biao Lin:
Design of an NGS MicroRNA predictor using multilayer hierarchical MapReduce framework. 1-8 - Christopher M. Roadknight, Durga Suryanarayanan, Uwe Aickelin, John Scholefield, Lindy Durrant:
An ensemble of machine learning and anti-learning methods for predicting tumour patient survival rates. 1-8 - Jaya Sil, Indrani Bhattacharya:
Patient classification based on expanded query using 5-gram collocation and binary tree. 1-10 - D. Satheesh Kumar, P. Krishna Reddy:
Improved approach for protein function prediction by exploiting prominent proteins. 1-7 - Avi Rosenfeld, David G. Graham, Rifat A. Hamoudi, Rommel Butawan, Victor Eneh, Saif Khan, Haroon Miah, Mahesan Niranjan, Laurence B. Lovat:
MIAT: A novel attribute selection approach to better predict upper gastrointestinal cancer. 1-7 - Aron Henriksson, Jing Zhao, Henrik Boström, Hercules Dalianis:
Modeling heterogeneous clinical sequence data in semantic space for adverse drug event detection. 1-8 - Maribel Yasmina Santos, António Carvalheira, Artur Teles de Araújo:
A data-driven analytics approach in the study of pneumonia's fatalities. 1-10 - Jing Zhao, Aron Henriksson, Henrik Boström:
Cascading adverse drug event detection in electronic health records. 1-8 - Martí Zamora, Manel Baradad, Ester Amado, Silvia Cordomi, Esther Limon, Juliana Ribera, Marta Arias, Ricard Gavaldà:
Characterizing chronic disease and polymedication prescription patterns from electronic health records. 1-9 - Urminder Singh, Sucheta Chauhan, A. Krishnamachari, Lovekesh Vig:
Ensemble of deep long short term memory networks for labelling origin of replication sequences. 1-7 - Sucheta Chauhan, Lovekesh Vig:
Anomaly detection in ECG time signals via deep long short-term memory networks. 1-7 - Everaldo Aguiar, Saurabh Nagrecha, Nitesh V. Chawla:
Predicting online video engagement using clickstreams. 1-10 - Eugen Stripling, Seppe vanden Broucke, Katrien Antonio, Bart Baesens, Monique Snoeck:
Profit maximizing logistic regression modeling for customer churn prediction. 1-10 - Gunarto Sindoro Njoo, Xiao Wen Ruan, Kuo-Wei Hsu, Wen-Chih Peng:
A fusion-based approach for user activities recognition on smart phones. 1-10 - Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang:
Tracking the evolution of community structures in time-evolving social networks. 1-10 - Maria Estrella Sousa Vieira, José C. López-Ardao, Manuel Fernández-Veiga, Miguel Rodríguez-Pérez, Cándido López-García:
Mining relationships in learning-oriented social networks. 1-9 - Shuai Yuan, Pang-Ning Tan, Kendra Spence Cheruvelil, Sarah M. Collins, Patricia A. Soranno:
Constrained spectral clustering for regionalization: Exploring the trade-off between spatial contiguity and landscape homogeneity. 1-10 - Emma Beauxis-Aussalet, Lynda Hardman:
Multifactorial uncertainty assessment for monitoring population abundance using computer vision. 1-10 - Natalia V. Andrienko, Gennady L. Andrienko, Georg Fuchs, Salvatore Rinzivillo, Hans-Dieter Betz:
Detection, tracking, and visualization of spatial event clusters for real time monitoring. 1-10 - Davide Tosi, Stefano Marzorati, Mario La Rosa, Giovanna Dondossola, Roberta Terruggia:
Big data from cellular networks: How to estimate energy demand at real-time. 1-10 - Stefano Ferilli, Berardina De Carolis, Floriana Esposito, Domenico Redavid:
Sentiment analysis as a text categorization task: A study on feature and algorithm selection for Italian language. 1-10 - Sudipto Shankar Dasgupta, Swaminathan Natarajan, Kiran Kumar Kaipa, Sujay Kumar Bhattacherjee, Arun Viswanathan:
Sentiment analysis of Facebook data using Hadoop based open source technologies. 1-3 - Mirko Lai, Cristina Bosco, Viviana Patti, Daniela Virone:
Debate on political reforms in Twitter: A hashtag-driven analysis of political polarization. 1-9 - Patrick Hennig, Philipp Berger, Maximilian Brehm, Bastien Grasnick, Jonathan Herdt, Christoph Meinel:
Hot spot detection - An interactive cluster heat map for sentiment analysis. 1-9 - Jasmina Smailovic, Janez Kranjc, Miha Grcar, Martin Znidarsic, Igor Mozetic:
Monitoring the Twitter sentiment during the Bulgarian elections. 1-10 - Yoad Lewenberg, Yoram Bachrach, Svitlana Volkova:
Using emotions to predict user interest areas in online social networks. 1-10 - Elisabetta Fersini, Federico Alberto Pozzi, Enza Messina:
Detecting irony and sarcasm in microblogs: The role of expressive signals and ensemble classifiers. 1-8 - Koichi Moriya, Shin Matsushima, Kenji Yamanishi:
Traffic risk mining from heterogeneous road statistics. 1-10 - Boris Chidlovskii:
Learning urban users' choices to improve trip recommendations. 1-9 - Junpeng Bao, Qian Cao, Yuepeng Zhang, Jun Zeng, De Zhang:
RIMM: A novel map matching model with rotational invariance. 1-7 - Liang Zhang, Michael W. Towsey, Philip Eichinski, Jinglan Zhang, Paul Roe:
Assistive classification for improving the efficiency of avian species richness surveys. 1-6 - Olga Tushkanova, Vladimir Gorodetsky:
Data-driven semantic concept analysis for automatic actionable ontology design. 1-9 - Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben N'cir, Nadia Essoussi:
MapReduce-based k-prototypes clustering method for big data. 1-7 - Sanaa Chafik, Imane Daoudi, Mounim A. El-Yacoubi, Hamid El Ouardi:
Cluster-based data oriented hashing. 1-7 - Satoshi Ono, Haruki Matsuyama, Ken-ichi Fukui, Shigeki Hosoda:
Error detection of oceanic observation data using sequential labeling. 1-8 - Thomas Delacroix, Ahcene Boubekki, Philippe Lenca, Stéphane Lallich:
Constrained independence for detecting interesting patterns. 1-10 - Azad Naik, Huzefa Rangwala:
A ranking-based approach for hierarchical classification. 1-10 - Vyron Christodoulou, Yaxin Bi:
A combination of CUSUM-EWMA for Anomaly Detection in time series data. 1-8 - João Duarte, João Gama:
Multi-target regression from high-speed data streams with adaptive model rules. 1-10 - Anastasios Maronidis, Elisavet Chatzilari, Spiros Nikolopoulos, Ioannis Kompatsiaris:
Scalable image annotation using a product compressive sampling approach. 1-10 - Zhao Xu, Koichi Funaya:
Time series analysis with graph-based semi-supervised learning. 1-6 - Mirjana Mazuran, Elisa Quintarelli, Letizia Tanca:
IQ4EC: Intensional answers as a support to exploratory computing. 1-10 - Dominique Gay, Romain Guigourès, Marc Boullé, Fabrice Clérot:
TESS: Temporal event sequence summarization. 1-10 - Sarmimala Saikia, Gautam Shroff, Puneet Agarwal, Ashwin Srinivasan:
Succinctly summarizing machine usage via multi-subspace clustering of multi-sensor data. 1-10
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-10-31 20:02 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
