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Université de Fribourg

D2 histosketch: discriminative and dynamic similarity-preserving sketching of streaming histograms

Yang, Dingqi ; Li, Bin ; Rettig, Laura ; Cudré-Mauroux, Philippe

In: IEEE Transactions on Knowledge and Data Engineering, 2018, p. 1–1

Histogram-based similarity has been widely adopted in many machine learning tasks. However, measuring histogram similarity is a challenging task for streaming histograms, where the elements of a histogram are observed one after the other in an online manner. The ever-growing cardinality of histogram elements over the data streams makes any similarity computation inefficient in that case. To...

Université de Fribourg

Statix - statistical type inference on linked data

Lutov, Artem ; Roshankish, Soheil ; Khayati, Mourad ; Cudre-Mauroux, Philippe

In: 2018 IEEE International Conference on Big Data (Big Data), 2018, p. 2253–2262

Large knowledge bases typically contain data adhering to various schemas with incomplete and/or noisy type information. This seriously complicates further integration and post-processing efforts, as type information is crucial in correctly handling the data. In this paper, we introduce a novel statistical type inference method, called StaTIX, to effectively infer instance types in Linked Data...

Université de Fribourg

Clubmark: a parallel isolation framework for benchmarking and profiling clustering algorithms on numa architectures

Lutov, Artem ; Khayati, Mourad ; Cudre-Mauroux, Philippe

In: 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 2018, p. 1481–1486

There is a great diversity of clustering and community detection algorithms, which are key components of many data analysis and exploration systems. To the best of our knowledge, however, there does not exist yet any uniform benchmarking framework, which is publicly available and suitable for the parallel benchmarking of diverse clustering algorithms on a wide range of synthetic and...

Université de Fribourg

Efficient document filtering using vector space topic expansion and pattern-mining: the case of event detection in microposts

Proskurnia, Julia ; Mavlyutov, Ruslan ; Castillo, Carlos ; Aberer, Karl ; Cudré-Mauroux, Philippe

In: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017, p. 457–466

Automatically extracting information from social media is challenging given that social content is often noisy, ambiguous, and inconsistent. However, as many stories break on social channels first before being picked up by mainstream media, developing methods to better handle social content is of utmost importance. In this paper, we propose a robust and effective approach to automatically...

Université de Fribourg

Deep mobile traffic forecast and complementary base station clustering for C-RAN optimization

Chen, Longbiao ; Yang, Dingqi ; Zhang, Daqing ; Wang, Cheng ; Li, Jonathan ; Nguyen, Thi Mai Trang

In: Journal of Network and Computer Applications, 2018, vol. 121, p. 59–69

The increasingly growing data traffic has posed great challenges for mobile operators to increase their data processing capacity, which incurs a significant energy consumption and deployment cost. With the emergence of the Cloud Radio Access Network (C-RAN) architecture, the data processing units can now be centralized in data centers and shared among base stations. By mapping a cluster of...

Université de Fribourg

Playing Atari with six neurons

Cuccu, Giuseppe ; Togelius, Julian ; Philippe, Cudré-Mauroux

In: International Conference on Autonomous Agents and Multiagent Systems AAMAS 2019