@article{dainotti2012extracting,
  abstract = {Unsolicited one-way Internet traffic, also called Internet background radiation (IBR), has been used for years to study malicious activity on the Internet, including worms, DoS attacks, and scanning address space looking for vulnerabilities to exploit. We show how such traffic can also be used to analyze macroscopic Internet events that are unrelated to malware. We examine two phenomena: country-level censorship of Internet communications described in recent work, and natural disasters (two recent earthquakes). We introduce a new metric of local IBR activity based on the number of unique IP addresses per hour contributing to IBR. The advantage of this metric is that it is not affected by bursts of traffic from a few hosts. Although we have only scratched the surface, we are convinced that IBR traffic is an important building block for comprehensive monitoring, analysis, and possibly even detection of events unrelated to the IBR itself. In particular, IBR offers the opportunity to monitor the impact of events such as natural disasters on network infrastructure, and in particular reveals a view of events that is complementary to many existing measurement platforms based on (BGP) control-plane views or targeted active ICMP probing.},
  acmid = {2096154},
  address = {New York, NY, USA},
  author = {Dainotti, Alberto and Amman, Roman and Aben, Emile and Claffy, Kimberly C.},
  doi = {10.1145/2096149.2096154},
  interhash = {7c97d11971a9b652c00e0487bfc79d54},
  intrahash = {dc796731675fad942af97e1bd0c17366},
  issn = {0146-4833},
  journal = {SIGCOMM Computer Communication Review},
  month = jan,
  number = 1,
  numpages = {9},
  pages = {31--39},
  publisher = {ACM},
  title = {Extracting benefit from harm: using malware pollution to analyze the impact of political and geophysical events on the internet},
  url = {http://doi.acm.org/10.1145/2096149.2096154},
  volume = 42,
  year = 2012
}

@inproceedings{gaugaz2012predicting,
  abstract = {The amount of news content on the Web is increasing: Users can access news articles coming from a variety of sources on the Web: from newswires, news agencies, blogs, and at various places, e.g. even within Web search engines result pages. Anyhow, it still is a challenge for current search engines to decide which news events are worth being shown to the user (either for a newsworthy query or in a news portal). In this paper we define the task of predicting the future impact of news events. Being able to predict event impact will, for example, enable a newspaper to decide whether to follow a specific event or not, or a news search engine which stories to display. We define a flexible framework that, given some definition of impact, can predict its future development at the beginning of the event. We evaluate several possible definitions of event impact and experimentally identify the best features for each of them.},
  author = {Gaugaz, Julien and Siehndel, Patrick and Demartini, Gianluca and Iofciu, Tereza and Georgescu, Mihai and Henze, Nicola},
  booktitle = {Proc. of the 34th European Conference on Information Retrieval (ECIR 2012)},
  interhash = {dc898856b5a18bf1cb9307d1bd9b5268},
  intrahash = {f29c05f9a4fc3bb2189a965d95f622f9},
  location = {Barcelona, Spain},
  month = apr,
  title = {Predicting the Future Impact of News Events},
  url = {http://www.l3s.de/web/page25g.do?kcond12g.att1=1833},
  year = 2012
}

@article{eckert2009complex,
  abstract = {Ereignisgesteuerte Informationssysteme benötigen eine systematische und automatische Verarbeitung von Ereignissen. Complex Event Processing (CEP) ist ein Sammelbegriff für Methoden, Techniken und Werkzeuge, um Ereignisse zu verarbeiten während sie passieren, also kontinuierlich und zeitnah. CEP leitet aus Ereignissen höheres, wertvolles Wissen in Form von sog. komplexen Ereignissen, d.h. Situationen die sich nur als Kombination mehrerer Ereignisse erkennen lassen, ab. },
  author = {Eckert, Michael and Bry, Fran\c{c}ois},
  interhash = {b924eac11a08860c330534fccc19c339},
  intrahash = {55c6ab2d22435448aed365d482c2a0c4},
  journal = {Informatik Spektrum},
  number = 2,
  pages = {163--167},
  title = {Aktuelles Schlagwort: Complex Event Processing (CEP)},
  url = {http://www.pms.ifi.lmu.de/publikationen/#PMS-FB-2009-5},
  volume = 32,
  year = 2009
}

@techreport{eckert2009complex,
  abstract = {Event-driven information systems demand a systematic and automatic processing of events. Complex Event Processing (CEP) encompasses methods, techniques, and tools for processing events while they occur, i.e., in a continuous and timely fashion. CEP derives valuable higher-level knowledge from lower-level events; this knowledge takes the form of so called complex events, that is, situations that can only be recognized as a combination of several events.},
  author = {Eckert, Michael and Bry, Fran\c{c}ois},
  institution = {Institute for Informatics, University of Munich},
  interhash = {4a53418d11e5b0dae12a23d0a74d2184},
  intrahash = {af5a0f81a025c87358f58cb799c1f92c},
  number = {PMS-FB-2009-6},
  title = {Complex Event Processing (CEP)},
  type = {{research report, PMS-FB-2009-6}},
  url = {http://www.pms.ifi.lmu.de/publikationen/#PMS-FB-2009-6},
  year = 2009
}

@inproceedings{rattenbury2007towards,
  abstract = {We describe an approach for extracting semantics of tags, unstructured text-labels assigned to resources on the Web, based on each tag's usage patterns. In particular, we focus on the problem of extracting place and event semantics for tags that are assigned to photos on Flickr, a popular photo sharing website that supports time and location (latitude/longitude) metadata. We analyze two methods inspired by well-known burst-analysis techniques and one novel method: Scale-structure Identification. We evaluate the methods on a subset of Flickr data, and show that our Scale-structure Identification method outperforms the existing techniques. The approach and methods described in this work can be used in other domains such as geo-annotated web pages, where text terms can be extracted and associated with usage patterns.},
  address = {New York, NY, USA},
  author = {Rattenbury, Tye and Good, Nathaniel and Naaman, Mor},
  booktitle = {SIGIR '07: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval},
  doi = {10.1145/1277741.1277762},
  interhash = {8b02d2b3fdbb97c3db6e3b23079a56e5},
  intrahash = {bf6f73d2ef74ca6f1d355fb5688b673c},
  isbn = {978-1-59593-597-7},
  pages = {103--110},
  publisher = {ACM Press},
  title = {Towards automatic extraction of event and place semantics from flickr tags},
  url = {http://dx.doi.org/10.1145/1277741.1277762},
  year = 2007
}