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State-based Event Detection Optimization for Complex Event Processing

Shanglian PENG, Haoxia LIU, Xiaolin GUO, Jia HE
2014 Sensors & Transducers  
To assure real-time responsive complex pattern detection over high volume and speed event streams, efficient event detection techniques have to be designed.  ...  Detection of patterns in high speed, large volume of event streams has been an important paradigm in many application areas of Complex Event Processing (CEP) including security monitoring, financial markets  ...  Patterns are typically specified as regular expressions over event attributes, then predicates and correlations are defined over the patterns.  ... 
doaj:886baa83d08a4eeb8685118eb2f3c9da fatcat:2732zup42vesfe6cyhhxgawtvq

Partition and compose

Martin Hirzel
2012 Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems - DEBS '12  
Composite event patterns often become meaningful only after partitioning. For instance, a pattern over stock quotes is typically meaningful over quotes for the same stock symbol.  ...  machines as well as multi-machine clusters.  ...  The partitioning opens the door to parallelization on multi-core machines and even multi-machine clusters. The MatchRegex operator has several advantages over prior CEP engines.  ... 
doi:10.1145/2335484.2335506 dblp:conf/debs/Hirzel12 fatcat:fgmph2y6encs7jmjl6odsq43gi

Discovering Analytic Associate Rule Filtering on Multi-Dimensional Data Streams

P. Velvadivu, C. Duraisamy
2015 Research Journal of Applied Sciences Engineering and Technology  
The main objective of AARF is to identify the relationship between attributes on multidimensional data and to filter out the independent attributes from the data streams.  ...  Multidimensional data points discover structural and chronological association inside the data streams.  ...  If the attribute 'x' is satisfied with the rule and the verification made on the 'y' attributes is not matched, then the data stream is filtered out using the AARF mechanism.  ... 
doi:10.19026/rjaset.11.1862 fatcat:3hrwxt2rcbeepej6rcyyl2udcu

A Survey on Effective Pattern Matching in Uncertain Time Series Stream Data

D. Rajalakshm, K. Dinakaran
2015 Asian Journal of Applied Sciences  
In this study, a survey of time series data management for pattern matching is provided. The similarity search over uncertain data will be explored.  ...  The issues in existing research, limitations and methodology for pattern matching on uncertain time series stream data are examined in this study.  ...  Yu Fig. 1 : Pattern matching over uncertain stream time series data in later processing.  ... 
doi:10.3923/ajaps.2015.217.226 fatcat:av2737xtdbhwtdcvzvnvdseftm

Multi-source Multi-modal Activity Recognition in Aerial Video Surveillance

Riad I. Hammoud, Cem S. Sahin, Erik P. Blasch, Bradley J. Rhodes
2014 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops  
We also present an activity pattern learning framework which uses the multi-source associated data as training to index a large archive of FMV videos.  ...  FMV target tracks and chat messages as graphs of attributes, (3) associating FMV tracks and chat messages using a probabilistic graph-based matching approach, and (4) detecting spatial-temporal activity  ...  Multi-Source Data and Problem Statement For data collection and reporting, the aerial video is reviewed by humans (called hereafter reviewed FMV data) as the imagery is streamed down from an airborne platform  ... 
doi:10.1109/cvprw.2014.44 dblp:conf/cvpr/HammoudSBR14 fatcat:p7pqnfbzefdplpm5eztcgk2lge

Automatic Association of Chats and Video Tracks for Activity Learning and Recognition in Aerial Video Surveillance

Riad Hammoud, Cem Sahin, Erik Blasch, Bradley Rhodes, Tao Wang
2014 Sensors  
of interest (TOIs) by movement type and geolocation; and (3) a user interface to support streaming multi-intelligence data processing.  ...  We also present an activity pattern learning framework that uses the multi-source associated data as training to index a large archive of full-motion videos (FMV).  ...  The goal of the learning process is to be able to match an unlabeled track (i.e., without chat) to the indexed pattern of life trajectories over large amounts of non-reviewed FMV data.  ... 
doi:10.3390/s141019843 pmid:25340453 pmcid:PMC4239870 fatcat:ony3ylej4nhzxbnap2zide3kwi

Plan-Based Semantic Enrichment of Event Streams [chapter]

Kia Teymourian, Adrian Paschke
2014 Lecture Notes in Computer Science  
In this paper, we present an efficient technique for event stream enrichment by planning multi-step event enrichment and processing.  ...  The event enrichment is optimized to avoid unnecessary event stream enrichment without missing any complex events of interest.  ...  CQELS [10] is a query processor for unified query processing over both Linked Stream Data and Linked Data. ETALIS [2] is a rule-based stream reasoning and complex event processing (CEP) system.  ... 
doi:10.1007/978-3-319-07443-6_3 fatcat:yi2nyjg3gjg6veudgoh2ctrwni

Monitoring Abnormal Patterns with Complex Semantics over ICU Data Streams [chapter]

Xinbiao Zhou, Hongyan Li, Haibin Liu, Meimei Li, Lvan Tang, Yu Fan, Zijing Hu
2006 Lecture Notes in Computer Science  
In this paper we present a new approach MAPS(Monitoring Abnormal Patterns over data Streams) to model and identify the abnormal patterns over the massive data streams.  ...  Monitoring abnormal patterns in data streams is an important research area for many applications.  ...  Because in multi-dimensional data streams, each stream has its own repetitious features and semantic meanings.  ... 
doi:10.1007/11821045_20 fatcat:cknebucaxvftlpqjdy6kefn7ee

Large-scale continuous subgraph queries on streams [article]

Sutanay Choudhury, Lawrence Holder, George Chin, John Feo
2012 arXiv   pre-print
The exponential growth in streaming data from online social networks, news and video streams and the continual need for situational awareness motivates a solution for finding patterns in streaming updates  ...  Graph pattern matching involves finding exact or approximate matches for a query subgraph in a larger graph.  ...  The fundamental assumption is that once a query is registered and runs over a long period of time, the characteristics of the data stream can change over time.  ... 
arXiv:1208.0055v1 fatcat:rosupqfmq5h7hifnlc7khad4gu

Resilient Identity Crime Detection

Clifton Phua, Kate Smith-Miles, Vincent Lee, Ross Gayler
2012 IEEE Transactions on Knowledge and Data Engineering  
Index Terms-data mining-based fraud detection, security, data stream mining, anomaly detection. ! Clifton Phua is a Research Fellow at the Data Mining  ...  The existing non-data mining detection systems of business rules and scorecards, and known fraud matching have limitations.  ...  This terminology "single-link score" is adopted over "multi-attribute link score" to focus on a single link between two applications, not on the matching of attributes between them.  ... 
doi:10.1109/tkde.2010.262 fatcat:syza5gzeezewlmpxnsmefdpje4


Lars George, Bruno Cadonna, Matthias Weidlich
2016 Proceedings of the VLDB Endowment  
Complex event processing (CEP) matches patterns over a continuous stream of events to detect situations of interest.  ...  In a multi-phase process, IL-MINER first identifies relevant abstractions for the construction of event patterns.  ...  Pattern discovery has also been investigated for data streams, streams of atomic data entities.  ... 
doi:10.14778/3015270.3015273 fatcat:33x3erfxpfcknozkx5nc4cpi7m

Complex event analytics

Yingmei Qi, Lei Cao, Medhabi Ray, Elke A. Rundensteiner
2014 Proceedings of the 2014 ACM SIGMOD international conference on Management of data - SIGMOD '14  
Yet while effective technologies for complex pattern detection on continuous event streams have been developed, the problem of scalable online aggregation of such patterns has been overlooked.  ...  Based on this insight our A-Seq strategy successfully aggregates sequence pattern online without ever constructing sequence matches.  ...  THE MULTI-QUERY A-SEQ SOLUTION For rich data streams from web-clicks to stock ticker streams, large workloads of similar queries may be processed.  ... 
doi:10.1145/2588555.2593684 dblp:conf/sigmod/QiCRR14 fatcat:mrgaqkzedbchxeyjoj5anmle64

Using semantics in XML query processing

Zhifeng Bao, Huayu Wu, Bo Chen, Tok Wang Ling
2008 Proceedings of the 2nd international conference on Ubiquitous information management and communication - ICUIMC '08  
In particular, we consider two common types of queries in XML, twig pattern query and keyword search query. We discuss how semantics can be used for optimizing twig pattern queries.  ...  Twig pattern query and keyword search query are two kinds of common queries over XML document. So far, many twig pattern matching (TPM) methods have been proposed.  ...  However, the whole query processing consists of 5 steps: (1) label the xml document, (2) perform pattern matching of the entire twig over the label stream, (3) extract the output part from each label  ... 
doi:10.1145/1352793.1352826 dblp:conf/icuimc/BaoWCL08 fatcat:dm7cq2q26bbphbfdgs7rhbzjm4

Knowledge-infused and consistent Complex Event Processing over real-time and persistent streams

Qunzhi Zhou, Yogesh Simmhan, Viktor Prasanna
2017 Future generations computer systems  
These allow accessible analytics over data streams having properties from different disciplines, and help span the velocity (real-time) and volume (persistent) dimensions.  ...  in accessing high-volume historic data streams.  ...  IoT domains need to perform analytics over multi-disciplinary data sources for effective decision making.  ... 
doi:10.1016/j.future.2016.10.030 fatcat:gvqp34dfvbfwjbefip5cu35tsm

Effective stream-based and execution-based data prefetching

Sorin Iacobovici, Lawrence Spracklen, Sudarshan Kadambi, Yuan Chou, Santosh G. Abraham
2004 Proceedings of the 18th annual international conference on Supercomputing - ICS '04  
In response to this analysis, a novel multi-stride prefetcher, that supports streams with up to four distinct strides, is proposed.  ...  This paper analyzes the behavior of cache-missing loads in SPEC CPU2000 and highlights the inability of unit and single non-unit stride prefetchers to correctly prefetch for some commonly occurring streams  ...  Each match of a load miss to a multi-strided stream predictor table entry with that stream pattern counts as one occurrence.  ... 
doi:10.1145/1006209.1006211 dblp:conf/ics/IacoboviciSKCA04 fatcat:inzsy2t4vnalvhgc7wwkqxdj5u
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