Keywords:
trend detection

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... while the other results answer a morefundamental question - whether trend detection helps the recom-mendation process; and the answer is a definite ...
... model the two processes here treatedseparately - collaborative filtering and trend detection. . This couldbe done by, for example, combing Amatriain et ...

Keywords:
trend detection

References:
N. G. Golbandi, L. K. Katzir, Y. K. Koren, and R. L. Lempel. Expediting Search Trend Detection via Prediction of Query Counts. In Proc. of WSDM, 2013.
M. Mathioudakis and N. Koudas. TwitterMonitor: trend detection over the twitter stream. In Proc. of SIGMOD, pages 1155--1158, 2010.

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... to form events.3.1.1 Trending Keyword DetectionAs in related work on trend detection [20, 24, 9], we leveragethe observation that in the absence ... + newsTrend #2cnn+fox+newsTrend#1 and Trend#2 mergeFigure 8: Detailed example of trend detection and trendingkeywords grouping (Boston marathon bombing).together more than 20% of ... threshold could be adjusted depending on thedatacenter?s requirements.To illustrate how trend detection works in practice, Figure 8shows the trend evolution for the ...
... search engines already offer products such as GoogleTrends [6]. Our trend detection approach leverages well-knowntechniques for trend analysis [20, 24], and is ...
... K. Katzir, Y. K. Koren, and R. L. Lempel.Expediting Search Trend Detection via Prediction of QueryCounts. In Proc. of WSDM, 2013.[10] A. ...

Title:
TwitterMonitor: trend detection over the twitter stream

Keywords:
trend detection

Abstract:
<p>We present TwitterMonitor, a system that performs trend detection over the Twitter stream. The system identifies emerging topics (i.e. ... own description for each trend.</p> <p>We discuss the motivation for trend detection over social media streams and the challenges that lie therein. ... challenges that lie therein. We then describe our approach to trend detection, , as well as the architecture of TwitterMonitor. Finally, we ...

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TwitterMonitor.dviTwitterMonitor: Trend Detection over the Twitter StreamMichael MathioudakisComputer ScienceUniversity of TorontoToronto, Ontario, Canadamathiou@cs.toronto.eduNick ... their own description for each trend.We discuss the motivation for trend detection over so-cial media streams and the challenges that lie therein. ... the challenges that lie therein. Wethen describe our approach to trend detection, , as well asthe architecture of TwitterMonitor. Finally, we lay ... that attract the attention of alarge fraction of Twitter users. Trend detection is thus ofhigh value to news reporters and analysts, as ... 2009,Twitter was immediately flooded with an enormous volumeof related commentary. Trend detection is also importantfor online marketing professionals and opinion tracking com-panies, ... to topics that capture the public?sattention. The requirement for real-time trend detection isonly natural for a live stream where topics of discussion ... ofour knowledge, our system is the first research-oriented efforttowards real-time trend detection over the Twitter stream.We envision our highly scalable approach to ... follows, we describe how TwitterMonitor tack-les the challenge of real-time trend detection, , as well as itsarchitecture. We conclude with a description ... itsarchitecture. We conclude with a description of our demon-stration scenario.2. TREND DETECTION AND ANALYSISTwitterMonitor performs trend detection in two steps andanalyzes trends in a third step. First, ...
... importantNBA match taking place.TwitterMonitor treats bursty keywords as ?entry points?for trend detection. . In other words, whenever a keywordexhibits bursty behavior, TwitterMonitor ...

Keywords:
trend detection

References:
M. Mathioudakis and N. Koudas. Twittermonitor: trend detection over the twitter stream. pages 1155--1158, 2010.

Title:
Expediting search trend detection via prediction of query counts

Keywords:
search trend detection

Abstract:
... defines precision, recall and latency metrics related to top-k search trend detection. . Then, observing that many trend detection algorithms rely on query counts, we develop a linear auto-regression ... counts. Subsequently, we tap the predicted counts to expedite search trend detection by plugging them into an existing trend detection scheme.</p> <p>Experimenting with query logs from a major Web search ... on the emitted trends. We show an average reduction in trend detection latency of roughly twenty minutes, with a negligible impact on ...

References:
M. Mathioudakis and N. Koudas. Twittermonitor: trend detection over the twitter stream. In SIGMOD Conference, pages 1155--1158, 2010.

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latency-editorial-over-w.epsExpediting Search Trend Detection via Prediction of QueryCountsNadav GolbandiYahoo! Labs, Haifa, Israelnadavg@yahoo-inc.comLiran Katzir?Microsoft Research,Advanced ... formally de?nes precision, recall and latencymetrics related to top-k search trend detection. . Then, ob-serving that many trend detection algorithms rely on querycounts, we develop a linear auto-regression model ... query counts. Subsequently, we tap the predictedcounts to expedite search trend detection by plugging theminto an existing trend detection scheme.Experimenting with query logs from a major Web searchengine, we ... on the emitted trends. We show an average re-duction in trend detection latency of roughly twenty min-utes, with a negligible impact on ... 978-1-4503-1869-3/13/02 ...$15.00.Categories and Subject DescriptorsH.3.3 [Information Search and Retrieval]: Information?lteringKeywordsSearch trend detection, , query count prediction1. INTRODUCTIONMajor Web search engines continuously receive ...
... level, we plug the predicted future query countsinto an existing trend detection algorithm that relies on ac-cess to query counts. With an ... to query counts. With an ideal (oracle) predictor, thiswould expedite trend detection by pre-producing future re-sults earlier.Concretely, we incorporated our predicted query ... re-sults earlier.Concretely, we incorporated our predicted query countsinto the search trend detection algorithm of Dong et al. [9].We report both the stand-alone ... outputs).Al-Bawab et al. [1] extended [9] to provide a location-aware296search trends detection algorithm using geographical prop-erties associated with query log entries.Chen et ... mod-els [18]. Mathioudakis et al [19] provide a framework foronline trends detection in Twitter.While all these prior works o?er new signal sources, ...
... predicted counts are then fed as input intothe baseline search trends detection algorithm, Algorithm 1.The baseline algorithm then emits trends based on ...
... the recall, precision and latencymetrics by which we judge search trend detection algorithms.We assume that algorithms emit top-k trends every timeunit, and ... Aswe are mostly concerned with the comparison of two com-peting trend detection algorithms A and B, we will denoteby At, Bt and ... causing what are essentially di?erent search trends.Moving on to de?ne trend detection latency, here we wishto measure the amount by which one ...
... de?ning latency, precision and recall metrics for the eval-uation of trend detection algorithms.7. REFERENCES[1] Z. Al-Bawab, G. H. Mills, and J.-F. Crespo. ...

Keywords:
trend detection

References:
M. Mathioudakis and N. Koudas. Twittermonitor: trend detection over the Twitter stream. In Proc. SIGMOD, pages 1155--1158, 2010.

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... following subsections, we will discuss some impor-tant aspects for emerging trend detection. . First of all, wediscuss how to measure significance of ...
... single strongtrend may mask other trends in the data set.3.3 Trend Detection on CooccurrencesEquation 3 and Equation 4 can be applied to ... noisy and exhibit a toohigh variance to be useful for trend detection. . A simple butreliable approach estimating x is to use ...
... 225 bytes of memory(32 Megabytes).4.5 Online DemonstrationThe results of our trend detection system are available athttp://signi-trend.appspot.com/ for exploration.5. CONCLUSIONSIn this article, we ...

Keywords:
Social Media, Trend Detection, Blog, Web Mining

References:
A. Kontostathis, L. Galitsky, W. M. Pottenger, S. Roy, and D. J. Phelps, "A survey of emerging trend detection in textual data mining," 2003.
A. Kontostathis, L. M. Galitsky, W. M. Pottenger, S. Roy, and D. J. Phelps, "A Survey of Emerging Trend Detection in Textual Data Mining," Language, pp. 1-44, 2003.

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... detect reliable trends automatically.This paper presents an approach that combines trend- -detection for structured and unstructured data. As a result,this approach ?ts ... presented in detail in Section IV.In Section V the presented trend- -detection algorithm getsevaluated to provide a deeper understanding of how thisdetection ... WORKIn their article Kontostathis et al. [3] described differentkinds of trend- -detection systems. They divided the trend- -detection systems into two main categories. The semi- au-tomatic systems, which ... Thesecond group is the group of fully-automatic trend-detectionsystems. The fully-automatic trend- -detection approaches pro-duce output without interaction with the user.A trend- -detection system consists of different componentssuch as linguistic and statistical features, ... results to the user in a user-friendly visualization.A very sophisticated trend- -detection model was introducedby Abe et al. [4]. Their system ?nds ...
... titles for two selected conferences.Currently, there a few approaches for trend- -detection insidethe World Wide Web with more or less good results. ... andunstructured data of the blogosphere in order to detect trends.III. TREND- -DETECTION PREREQUISITESTo detect trends inside the blogosphere many differentsteps have to ... trends later on.A. Time WindowDue to the fact that the trend- -detection should work withuser input and detect the latest trends,a certain ... negative. These meanings areexplained in more detail in Section IV-D3.IV. TREND- -DETECTION ALGORITHMThe different aspects monitored over time are described inmore detail. ...
... 2. Blog Posts Meanings term termterm7.Fig. 1. Overview of the trend- -detection algorithm42A. Link AnalysisOne of the most powerful structures inside the ... different text sourcesinside the blogosphere. Furthermore, the quality of the trend- -detection results can be improved by including additionalmeta-information. The best known ...
... slope are shown in Table I.V. EVALUATIONThis Section evaluates the trend- -detection algorithm itselfin more detail. We want to take a deeper ... is made to make an assumptionas to how reliable the trend- -detection system is using anexperiment. Therefore the speci?ed time window is ...
... is just a verylimited experiment. Nevertheless, it shows that the trend- -detection could probably be used for prediction of trends.Therefore, further evaluation ... understanding of the trends and would deliver morevaluable information.VII. CONCLUSIONFor trend- -detection based on the blogosphere three differentaspects are taken into account ... Pottenger, S. Roy, and D. J. Phelps,?A survey of emerging trend detection in textual data mining,? 2003.[2] J. B. C. M. Patrick ... Pottenger, S. Roy, and D. J.Phelps, ?A Survey of Emerging Trend Detection in Textual Data Mining,?Language, pp. 1?44, 2003.[4] H. Abe and ...

Keywords:
trend detection

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... Design Methodology; H.2.8[Information Systems]: Database Application?Data Min-ingKeywordssocial web, collaborative tagging, trend detection, , changepoint analysis1. INTRODUCTIONUser-generated content on the Social Web comes ...

Keywords:
trend detection

References:
S. Hendrickson, J. Kolb, B. Lehman, and J. Montague. Trend detection in social data. Technical report, Twitter, 2015.

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... Twitter social media text streams; and 2) we showthat the trends detected in the Twitter social stream highlycover peaks observed in the ...
... on ?t is also provided. Contrary to the usual casewhere trend detection is favored to be as early as possible, inour setup, ...

Keywords:
trend detection

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... processKeywordscomputer security; web-based malware; malware detection;infection vector identification; infection campaigns; clustering;trend detection; ; web dynamicsPermission to make digital or hard copies of ...
... a snapshot. Consequently, it might then bepossible to evade the trend detection step in the first place.Additionally, we might also miss infection ... which,in turn, allows us to leverage more computationally-expensivefeatures to increase trend detection accuracy.Lastly, while the trend detection step is purely static, todetect malicious behavior, the ?-system relies ...

Keywords:
trend detection

References:
A. Kontostathis, L. Galitsky, W. M. Pottenger, S. Roy, and D. J. Phelps. A survey of emerging trend detection in textual data mining. in Survey of Text Mining, pp 185--224. 2003

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... Text Analytics General Terms Algorithms Keywords Text Mining, Sentiment Detection, Trend Detection, , Entity Extraction, Brand Management, Buzz, Communication, Competitive Intelligence, Reputation ...
... name of ?Topic Detection and Tracking? (TDT) [1] or 62?Emerging Trend Detection? ? [8] where news articles are clustered into groups about ...
... S. Roy, and D. J. Phelps. A survey of emerging trend detection in textual data mining. in Survey of Text Mining, pp ...

Keywords:
trends detection

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... social networks, semantic web, biomedicine, data journals, datasets, peer review, trends detection, , trends analysis, scientific collaboration, evaluation metrics, scientometrics, platform architecture, ...
... post-review discussions. iii. Data mining for biomedical and clinical research trends detection and analysis. This pilot emphasizes the ability of the OpenScienceLink ...

Keywords:
trend detection

References:
M. Mathioudakis and N. Koudas. "Twittermonitor: trend detection over the Twitter stream". In: Proceedings of the ACM International Conference on Management of Data (SIGMOD), Indianapolis, IN. 2010, pp. 1155--1158.