Learning from user workflows for the characterization and prediction of software crashes, 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW), pp.1023-1030, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01616232
Dynamic monitoring of software use with recurrent neural networks, 2019. ,
,
Adaptive User interface for medical software, 2017. ,
Determining and using a 'gold standard' for adaptive user interfaces, 2017. ,
, TensorFlow: Large-scale machine learning on heterogeneous systems. Software available from tensorflow.org, 2015.
Adaptive user interface for medical software -Application in the United States, 2017. ,
Determining and using a 'gold standard' for adaptive user interfaces -Application in the United States, 2017. ,
Learning from user workflows for the characterization and prediction of software crashes, 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW), pp.1023-1030, 2016. ,
Dynamic monitoring of software use with recurrent neural networks, 2019. ,
Using data mining methods to build customer profiles, Computer, vol.34, issue.2, pp.74-82, 2001. ,
Frequent pattern mining, 2014. ,
Managing and mining graph data, 2010. ,
A survey of text clustering algorithms, Mining text data, pp.77-128, 2012. ,
Fast algorithms for mining association rules, Proc. 20th int. conf. very large data bases, VLDB, vol.1215, pp.487-499, 1994. ,
Survey on anomaly detection using data mining techniques, Procedia Computer Science, vol.60, pp.708-713, 2015. ,
Quantitative evaluation of performance and validity indices for clustering the web navigational sessions, 2011. ,
An extensive comparative study of cluster validity indices, Pattern Recognition, vol.46, issue.1, pp.243-256, 2013. ,
K-means++: The advantages of careful seeding, Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms, pp.1027-1035, 2007. ,
Intrusion detection systems: A survey and taxonomy, 2000. ,
Validating clusters using the Hopkins statistic, Proceedings IEEE International Conference, Fuzzy systems, vol.1, pp.149-153, 2004. ,
On prediction using variable order Markov models, Journal of Artificial Intelligence Research, vol.22, pp.385-421, 2004. ,
DOI : 10.1613/jair.1491
URL : https://jair.org/index.php/jair/article/download/10394/24895
Learning long-term dependencies with gradient descent is difficult, IEEE transactions on neural networks, vol.5, issue.2, pp.157-166, 1994. ,
DOI : 10.1109/72.279181
A neural click model for web search, Proceedings of the 25th International Conference on World Wide Web, pp.531-541, 2016. ,
Patternbased classification: a unifying perspective, LeGo'09, Proceedings of the ECML PKDD 2009 Workshop 'From Local Patterns to Global Models, 2009. ,
Model-based evaluation of clustering validation measures, Calí nski and Harabasz, vol.40, pp.1-27, 1974. ,
Search query predictions by a keyboard, US Patent, vol.9, p.955, 2017. ,
Deep clustering for unsupervised learning of visual features, European Conference on Computer Vision, vol.538, p.20, 2016. ,
Adaptive information for consumers of healthcare, The adaptive web, pp.465-484, 2007. ,
Research on web session clustering, Journal of Software, vol.4, issue.5, pp.460-468, 2009. ,
Data mining for imbalanced datasets: An overview, Data mining and knowledge discovery handbook, pp.853-867, 2005. ,
, Efficient vector representation for documents through corruption, 5th International Conference on Learning Representations, 2017.
Discovering time-interval sequential patterns in sequence databases, Expert Systems with Applications, vol.25, issue.3, pp.343-354, 2003. ,
Discriminative frequent pattern analysis for effective classification, IEEE 23rd International Conference on Data Engineering, pp.716-725, 2007. ,
Representation learning for cold-start recommendation, ICLR 2015 Workshop, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01357559
Document embedding with paragraph vectors, NIPS Deep Learning Workshop, 2014. ,
Predicting sequences of user actions, Notes of the AAAI/ICML 1998 Workshop on Predicting the Future: AI Approaches to Time-Series Analysis, pp.5-12, 1998. ,
Identifying frequent user tasks from application logs, Proceedings of the 22nd International Conference on Intelligent User Interfaces, pp.263-273, 2017. ,
Refinement and evaluation of web session cluster quality, International Journal of System Assurance Engineering and Management, vol.6, issue.4, pp.373-389, 2015. ,
Sequential user-based recurrent neural network recommendations, Proceedings of the Eleventh ACM Conference on Recommender Systems, pp.152-160, 2017. ,
DOI : 10.1145/3109859.3109877
Deeplog: Anomaly detection and diagnosis from system logs through deep learning, Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, pp.1285-1298, 2017. ,
, Pattern classification, 2012.
Well-separated clusters and optimal fuzzy partitions, Journal of cybernetics, vol.4, issue.1, pp.95-104, 1974. ,
ROC graphs: Notes and practical considerations for researchers, Joint European Conference on Machine Learning and Knowledge Discovery in Databases, vol.31, pp.1-38, 2004. ,
A sense of self for Unix processes, Proceedings IEEE Symposium on Security and Privacy, pp.120-128, 1996. ,
Exploring the design space for adaptive graphical user interfaces, Proceedings of the working conference on Advanced visual interfaces, vol.1, pp.201-208, 2001. ,
Recurrent nets that time and count, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium, vol.3, pp.189-194, 2000. ,
DOI : 10.1109/ijcnn.2000.861302
Understanding the difficulty of training deep feedforward neural networks, Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, pp.249-256, 2010. ,
Online sequential prediction via incremental parsing: The active Lezi algorithm, IEEE Intelligent Systems, issue.1, p.22, 2007. ,
Generating sequences with recurrent neural networks, 2013. ,
Towards end-to-end speech recognition with recurrent neural networks, International Conference on Machine Learning, pp.1764-1772, 2014. ,
, , 2017.
, Session-based recommendations using item embedding, Proceedings of the 22nd International Conference on Intelligent User Interfaces, pp.629-633
LSTM: A search space odyssey, 2016. ,
A new type of distance metric and its use for clustering, Evolving Systems, vol.8, issue.3, pp.167-177, 2017. ,
Compact Prediction Tree: A lossless model for accurate sequence prediction, ADMA (2), pp.177-188, 2013. ,
Exploring network structure, dynamics, and function using NetworkX, 2008. ,
Clustering validity assessment: Finding the optimal partitioning of a data set, Proceedings IEEE International Conference on, pp.187-194, 2001. ,
Frequent pattern mining: current status and future directions, Data Mining and Knowledge Discovery, vol.15, issue.1, pp.55-86, 2007. ,
DOI : 10.1007/s10618-006-0059-1
Mining frequent patterns without candidate generation, ACM SIGMOD record, vol.29, pp.1-12, 2000. ,
DOI : 10.1145/335191.335372
Prediction algorithms for user actions, Proceedings of Lernen Wissen Adaption, pp.349-354, 2007. ,
Long ShortTerm Memory, Neural computation, vol.9, issue.8, pp.1735-1780, 1997. ,
Intrusion detection using sequences of system calls, Journal of computer security, vol.6, issue.3, pp.151-180, 1998. ,
A brief survey of text mining, In LDV Forum-GLDV J. Comput. Linguistics Lang. Technol, vol.20, pp.19-62, 2005. ,
Similarity measures for text document clustering, Proceedings of the sixth New Zealand computer science research student conference (NZCSRSC2008), pp.49-56, 2008. ,
Sequence prediction with mixed order Markov chains, Proceedings of BNAIC'02-Belgian-Dutch Conference on Artificial Intelligence, pp.147-154, 2002. ,
Data clustering: 50 years beyond K-means, Pattern recognition letters, vol.31, issue.8, pp.651-666, 2010. ,
Personalizing gesture recognition using hierarchical bayesian neural networks, 30th IEEE Conference on Computer Vision and Pattern Recognition, 2017. ,
An empirical exploration of recurrent network architectures, International Conference on Machine Learning, pp.2342-2350, 2015. ,
Estimation of probabilities from sparse data for the language model component of a speech recognizer, IEEE transactions on acoustics, speech, and signal processing, vol.35, issue.3, pp.400-401, 1987. ,
Bag-of-Concepts: Comprehending document representation through clustering words in distributed representation, Neurocomputing, vol.266, pp.336-352, 2017. ,
, Uncertainty in multitask transfer learning, 2018.
New index for clustering tendency and its application to chemical problems, Journal of chemical information and computer sciences, vol.30, issue.1, pp.36-41, 1990. ,
Distributed representations of sentences and documents, Proceedings of the 31st International Conference on Machine Learning, vol.32, pp.1188-1196, 2014. ,
Deep learning, Nature, vol.521, issue.7553, pp.436-444, 2015. ,
Inductive visual miner manual, 2017. ,
Efficiently mining closed subsequences with gap constraints, Proceedings of the 2008 SIAM International Conference on Data Mining, pp.313-322, 2008. ,
Time-dependent representation for neural event sequence prediction, 2017. ,
Facing the cold start problem in recommender systems, Expert Systems with Applications, vol.41, issue.4, pp.2065-2073, 2014. ,
Mining behavior graphs for backtrace of noncrashing bugs, Proceedings of the Fifth SIAM International Conference on Data Mining, pp.286-297, 2005. ,
DynaMine: finding common error patterns by mining software revision histories, ACM SIGSOFT Software Engineering Notes, vol.30, pp.296-305, 2005. ,
Classification of software behaviors for failure detection: a discriminative pattern mining approach, Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, pp.557-566, 2009. ,
Visualizing data using t-SNE, Journal of machine learning research, vol.9, pp.2579-2605, 2008. ,
Sentence level matrix representation for document spectral clustering, Pattern Recognition Letters, vol.85, pp.29-34, 2017. ,
Efficient estimation of word representations in vector space, International Conference on Learning Representations Workshop, 2013. ,
Online prediction of user actions through an ensemble vote from vector representation and frequency analysis models, Proceedings of the 2016 SIAM International Conference on Data Mining, pp.90-98, 2016. ,
A survey on transfer learning, IEEE Transactions on knowledge and data engineering, vol.22, issue.10, pp.1345-1359, 2010. ,
Pairwise preference regression for coldstart recommendation, Proceedings of the third ACM conference on Recommender systems, pp.21-28, 2009. ,
Discovering frequent closed itemsets for association rules, International Conference on Database Theory, pp.398-416, 1999. ,
URL : https://hal.archives-ouvertes.fr/hal-00467747
An overview of anomaly detection techniques: Existing solutions and latest technological trends, Computer networks, vol.51, issue.12, pp.3448-3470, 2007. ,
Scikit-learn: Machine learning in Python, Journal of Machine Learning Research, vol.12, pp.2825-2830, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00650905
Closet: An efficient algorithm for mining frequent closed itemsets, ACM SIGMOD workshop on research issues in data mining and knowledge discovery, vol.4, pp.21-30, 2000. ,
Mining sequential patterns by pattern-growth: The prefixspan approach, IEEE Transactions on knowledge and data engineering, vol.16, issue.11, pp.1424-1440, 2004. ,
Glove: global vectors for word representation, Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP), pp.1532-1543, 2014. ,
Mininglongestrepeatin g subsequencestopredict worldwidewebsurfing, Proc. USENIX Symp. On Internet Technologies and Systems, p.1, 1999. ,
Web user session clustering using modified K-means algorithm, International Conference on Advances in Computing and Communications, pp.243-252, 2011. ,
Software framework for topic modelling with large corpora, Proceedings of the LREC 2010 Workshop on New Challenges for NLP Frameworks, 2010. ,
Graph-of-word and TW-IDF: new approach to ad hoc IR, Proceedings of the 22nd ACM international conference on Information & Knowledge Management, pp.59-68, 2013. ,
Silhouettes: a graphical aid to the interpretation and validation of cluster analysis, Journal of computational and applied mathematics, vol.20, pp.53-65, 1987. ,
Long Short-Term Memory recurrent neural network architectures for large scale acoustic modeling, pp.338-342, 2014. ,
A survey of online failure prediction methods, ACM Computing Surveys (CSUR), vol.42, issue.3, p.10, 2010. ,
Term-weighting approaches in automatic text retrieval. Information processing & management, vol.24, pp.513-523, 1988. ,
Clustering of web sessions using Levenshtein metric, Industrial Conference on Data Mining, pp.127-133, 2004. ,
Intelligent user profiling, Artificial Intelligence An International Perspective, pp.193-216, 2009. ,
AT&T at TREC-7, 7th Conference on Text Retrieval, pp.239-252, 1999. ,
Augmented intuitive dissimilarity metric for clustering of web user sessions, Journal of Information Science, vol.43, issue.4, pp.480-491, 2017. ,
LSTM neural networks for language modeling, Thirteenth Annual Conference of the International Speech Communication Association, 2012. ,
Sequence to sequence learning with neural networks, Advances in neural information processing systems, pp.3104-3112, 2014. ,
Adapting lexical representation and OOV handling from written to spoken language with word embedding, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01194228
Improved recurrent neural networks for session-based recommendations, Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, pp.17-22, 2016. ,
Lecture 6.5-RMSPROP: Divide the gradient by a running average of its recent magnitude. COURSERA: Neural networks for machine learning, vol.4, pp.26-31, 2012. ,
Attention is all you need, Advances in Neural Information Processing Systems, pp.5998-6008, 2017. ,
A tutorial on spectral clustering, Statistics and computing, vol.17, issue.4, pp.395-416, 2007. ,
Unsupervised clickstream clustering for user behavior analysis, Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, pp.225-236, 2016. ,
BIDE: Efficient mining of frequent closed sequences, Proceedings. 20th International Conference on Data Engineering, pp.79-90, 2004. ,
Comparing the performance of biomedical clustering methods, Database and Expert Systems Applications, 2002. Proceedings. 13th International Workshop on, vol.12, p.1033, 2002. ,
Google's neural machine translation system, Bridging the gap between human and machine translation, 2016. ,
Joint modeling of event sequence and time series with attentional twin recurrent neural networks, 2017. ,
CloSpan: Mining Closed Sequential Patterns in Large Data Base, Proc. of the 3rd SIAM Int'l Conf. on Data Mining, 2003. ,
Mining sequence classifiers for early prediction, Proceedings of the 2008 SIAM International Conference on Data Mining, pp.644-655, 2008. ,
A brief survey on sequence classification, ACM SIGKDD Explorations Newsletter, vol.12, issue.1, pp.40-48, 2010. ,
Web user clustering analysis based on kmeans algorithm, 2010 International Conference on Information Networking and Automation (ICINA), 2010. ,
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension, 2018. ,
Scalable algorithms for association mining, IEEE transactions on knowledge and data engineering, vol.12, issue.3, pp.372-390, 2000. ,
DOI : 10.1109/69.846291
, Recurrent neural network regularization, 2014.
Automated IT system failure prediction: A deep learning approach, International Conference on Big Data, pp.1291-1300, 2016. ,
DOI : 10.1109/bigdata.2016.7840733
Sequential click prediction for sponsored search with recurrent neural networks, 2014. ,
, Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, pp.1369-1375
Sequence prediction using neural network classiers, International Conference on Grammatical Inference, pp.164-169, 2017. ,
Pattern based sequence classification, IEEE Transactions on Knowledge and Data Engineering, vol.28, issue.5, pp.1285-1298, 2016. ,
DOI : 10.1109/tkde.2015.2510010
Analyse des Séquences d'Usage d'Applications Médicales Mots clés: exploration de motifs fréquents ,
, réseaux de neurones récurrents LSTM; clustering