By Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo

This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed complaints of the ecu convention on computer studying and data Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The one hundred fifteen revised learn papers offered including thirteen demo tune papers, 10 nectar tune papers, eight PhD song papers, and nine invited talks have been conscientiously reviewed and chosen from 550 submissions. The papers conceal the most recent top quality interdisciplinary learn ends up in all parts with regards to laptop studying and information discovery in databases.

Show description

Read Online or Download Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part III PDF

Best data mining books

Knowledge-Based Intelligent Information and Engineering Systems: 11th International Conference, KES 2007, Vietri sul Mare, Italy, September 12-14,

The 3 quantity set LNAI 4692, LNAI 4693, and LNAI 4694, represent the refereed lawsuits of the eleventh overseas convention on Knowledge-Based clever details and Engineering platforms, KES 2007, held in Vietri sul Mare, Italy, September 12-14, 2007. The 409 revised papers offered have been rigorously reviewed and chosen from approximately 1203 submissions.

Multimedia Data Mining and Analytics: Disruptive Innovation

This publication presents clean insights into the innovative of multimedia facts mining, reflecting how the learn concentration has shifted in the direction of networked social groups, cellular units and sensors. The paintings describes how the heritage of multimedia info processing should be seen as a series of disruptive strategies.

What stays in Vegas: the world of personal data—lifeblood of big business—and the end of privacy as we know it

The best chance to privateness at the present time isn't the NSA, yet good-old American businesses. net giants, top shops, and different organisations are voraciously accumulating info with little oversight from anyone.
In Las Vegas, no corporation is familiar with the price of information higher than Caesars leisure. Many hundreds of thousands of enthusiastic consumers pour during the ever-open doorways in their casinos. the key to the company’s luck lies of their one unmatched asset: they comprehend their consumers in detail via monitoring the actions of the overpowering majority of gamblers. They comprehend precisely what video games they prefer to play, what meals they get pleasure from for breakfast, once they wish to stopover at, who their favourite hostess will be, and precisely how one can retain them coming again for more.
Caesars’ dogged data-gathering equipment were such a success that they have got grown to turn into the world’s biggest on line casino operator, and feature encouraged businesses of every kind to ramp up their very own information mining within the hopes of boosting their particular advertising efforts. a few do that themselves. a few depend on facts agents. Others sincerely input an ethical grey region that are supposed to make American shoppers deeply uncomfortable.
We stay in an age while our own info is harvested and aggregated no matter if we adore it or no longer. And it's becoming ever more challenging for these companies that decide upon to not have interaction in additional intrusive information collecting to compete with those who do. Tanner’s well timed caution resounds: sure, there are numerous advantages to the loose movement of all this knowledge, yet there's a darkish, unregulated, and damaging netherworld to boot.

Machine Learning in Medical Imaging: 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings

This publication constitutes the refereed lawsuits of the seventh overseas Workshop on laptop studying in scientific Imaging, MLMI 2016, held along with MICCAI 2016, in Athens, Greece, in October 2016. The 38 complete papers offered during this quantity have been rigorously reviewed and chosen from 60 submissions.

Additional info for Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part III

Sample text

Gianvito Pio, Michelangelo Ceci, Domenica D’Elia, and Donato Malerba Machine Learning Approaches for Metagenomics . . . . . . . . . . . Huzefa Rangwala, Anveshi Charuvaka, and Zeehasham Rasheed Sampling-Based Data Mining Algorithms: Modern Techniques and Case Studies . . . . . . . . . . . . . . . . . . . . . . . . . . Matteo Riondato 485 489 494 499 504 508 512 516 Table of Contents – Part III Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights .

Fran¸cois Schnitzler, Alexander Artikis, Matthias Weidlich, Ioannis Boutsis, Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik, Vana Kalogeraki, Jakub Marecek, Avigdor Gal, Shie Mannor, Dermot Kinane, and Dimitrios Gunopulos XXXV 520 Agents Teaching Agents in Reinforcement Learning (Nectar Abstract) . . . . . . . . . . . . . . . . . . . . . . . . Matthew E. Taylor and Lisa Torrey 524 Author Index . . . . . . . . . . . . . . . .

0: A Tool for Grammar-Based Pattern Discovery in Time Series . . . . . . . . . . . . . . . . . . . . . . . . . . . Pavel Senin, Jessica Lin, Xing Wang, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein, and Manfred Lerner 468 Insight4News: Connecting News to Relevant Social Conversations . . . Bichen Shi, Georgiana Ifrim, and Neil Hurley 473 BestTime: Finding Representatives in Time Series Datasets . . . . . . Stephan Spiegel, David Schultz, and Sahin Albayrak 477 BMaD – A Boolean Matrix Decomposition Framework .

Download PDF sample

Rated 4.42 of 5 – based on 10 votes