Search Results - "2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA)"

Anomaly Detection in Automobile Control Network Data with Long Short-Term Memory Networks by Taylor, Adrian, Leblanc, Sylvain, Japkowicz, Nathalie

“…Modern automobiles have been proven vulnerable to hacking by security researchers. By exploiting vulnerabilities in the car's external interfaces, such as…”
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The Synthetic Data Vault by Patki, Neha, Wedge, Roy, Veeramachaneni, Kalyan

“…The goal of this paper is to build a system that automatically creates synthetic data to enable data science endeavors. To achieve this, we present the…”
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Robust Online Time Series Prediction with Recurrent Neural Networks by Tian Guo, Zhao Xu, Xin Yao, Haifeng Chen, Aberer, Karl, Funaya, Koichi

“…Time series forecasting for streaming data plays an important role in many real applications, ranging from IoT systems, cyber-networks, to industrial systems…”
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Churn Prediction in Mobile Social Games: Towards a Complete Assessment Using Survival Ensembles by Perianez, Africa, Saas, Alain, Guitart, Anna, Magne, Colin

“…Reducing user attrition, i.e. churn, is a broad challenge faced by several industries. In mobile social games, decreasing churn is decisive to increase player…”
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The Highly Adaptive Lasso Estimator by Benkeser, David, Van Der Laan, Mark

“…Estimation of a regression functions is a common goal of statistical learning. We propose a novel nonparametric regression estimator that, in contrast to many…”
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Fraud Detection in Energy Consumption: A Supervised Approach by Coma-Puig, Bernat, Carmona, Josep, Gavalda, Ricard, Alcoverro, Santiago, Martin, Victor

“…Data from utility meters (gas, electricity, water) is a rich source of information for distribution companies, beyond billing. In this paper we present a…”
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Continuous Monitoring of A/B Tests without Pain: Optional Stopping in Bayesian Testing by Deng, Alex, Jiannan Lu, Shouyuan Chen

“…A/B testing is one of the most successful applications of statistical theory in the Internet age. A crucial problem of Null Hypothesis Statistical Testing…”
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Disease Detection and Severity Estimation in Cotton Plant from Unconstrained Images by Parikh, Aditya, Raval, Mehul S., Parmar, Chandrasinh, Chaudhary, Sanjay

“…The primary focus of this paper is to detect disease and estimate its stage for a cotton plant using images. Most disease symptoms are reflected on the cotton…”
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Uncovering the Bitcoin Blockchain: An Analysis of the Full Users Graph by Di Francesco Maesa, Damiano, Marino, Andrea, Ricci, Laura

“…BITCOIN is a novel decentralized cryptocurrency system which has recently received a great attention from a wider audience. An interesting and unique feature…”
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Anonymizing NYC Taxi Data: Does It Matter? by Douriez, Marie, Doraiswamy, Harish, Freire, Juliana, Silva, Claudio T.

“…The widespread use of location-based services has led to an increasing availability of trajectory data from urban environments. These data carry rich…”
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On the Evaluation of Outlier Detection and One-Class Classification Methods by Swersky, Lorne, Marques, Henrique O., Sander, Jörg, Campello, Ricardo J. G. B., Zimek, Arthur

“…It has been shown that unsupervised outlier detection methods can be adapted to the one-class classification problem. In this paper, we focus on the comparison…”
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Actitracker: A Smartphone-Based Activity Recognition System for Improving Health and Well-Being by Weiss, Gary M., Lockhart, Jeffrey W., Pulickal, Tony T., McHugh, Paul T., Ronan, Isaac H., Timko, Jessica L.

“…Actitracker is a smartphone-based activity-monitoring service to help people ensure they receive sufficient activity to maintain proper health. This free…”
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Efficient Large Scale Clustering Based on Data Partitioning by Bendechache, Malika, Kechadi, M-Tahar, Nhien-An Le-Khac

“…Clustering techniques are very attractive for extracting and identifying patterns in datasets. However, their application to very large spatial datasets…”
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Online Experimentation Diagnosis and Troubleshooting Beyond AA Validation by Zhenyu Zhao, Miao Chen, Matheson, Don, Stone, Maria

“…Online experiments are frequently used at internet companies to evaluate the impact of new designs, features, or code changes on user behavior. Though the…”
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Advanced Analytics for Train Delay Prediction Systems by Including Exogenous Weather Data by Oneto, Luca, Fumeo, Emanuele, Clerico, Giorgio, Canepa, Renzo, Papa, Federico, Dambra, Carlo, Mazzino, Nadia, Anguita, Davide

“…State-of-the-art train delay prediction systems neither exploit historical data about train movements, nor exogenous data about phenomena that can affect…”
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What Did I Do Wrong in My MOBA Game? Mining Patterns Discriminating Deviant Behaviours by Cavadenti, Olivier, Codocedo, Victor, Boulicaut, Jean-Francois, Kaytoue, Mehdi

“…The success of electronic sports (eSports), where professional gamers participate in competitive leagues and tournaments, brings new challenges for the video…”
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Combining Static and Dynamic Features for Multivariate Sequence Classification by Leontjeva, Anna, Kuzovkin, Ilya

“…Model precision in a classification task is highly dependent on the feature space that is used to train the model. Moreover, whether the features are…”
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Hyperparameter Optimization Machines by Wistuba, Martin, Schilling, Nicolas, Schmidt-Thieme, Lars

“…Algorithm selection and hyperparameter tuning are omnipresent problems for researchers and practitioners. Hence, it is not surprising that the efforts in…”
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The Semantic Knowledge Graph: A Compact, Auto-Generated Model for Real-Time Traversal and Ranking of any Relationship within a Domain by Grainger, Trey, Aljadda, Khalifeh, Korayem, Mohammed, Smith, Andries

“…This paper describes a new kind of knowledge representation and mining system which we are calling the Semantic Knowledge Graph. At its heart, the Semantic…”
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Resampling Strategies for Imbalanced Time Series by Moniz, Nuno, Branco, Paula, Torgo, Luis

“…Time series forecasting is a challenging task, where the non-stationary characteristics of the data portrays a hard setting for predictive tasks. A common…”
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