Title
Realtime healthcare services via nested complex event processing technology
Abstract
Complex Event Processing (CEP) over event streams has become increasingly important for real-time applications ranging from healthcare to supply chain management. In such applications, arbitrarily complex sequence patterns as well as non existence of such complex situations must be detected in real time. To assure real-time responsiveness for detection of such complex pattern over high volume high-speed streams, efficient processing techniques must be designed. Unfortunately the efficient processing of complex sequence queries with negations remains a largely open problem to date. To tackle this shortcoming, we designed optimized strategies for handling nested CEP query. In this demonstration, we propose to showcase these techniques for processing and optimizing nested pattern queries on streams. In particular our demonstration showcases a platform for specifying complex nested queries, and selecting one of the alternative optimized techniques including sub-expression sharing and intermediate result caching to process them. We demonstrate the efficiency of our optimized strategies by graphically comparing the execution time of the optimized solution against that of the default processing strategy of nested CEP queries. We also demonstrate the usage of the proposed technology in several healthcare services.
Year
DOI
Venue
2012
10.1145/2247596.2247681
EDBT
Keywords
Field
DocType
optimized strategy,alternative optimized technique,complex sequence pattern,complex sequence query,nested cep query,complex nested query,nested complex event processing,realtime healthcare service,complex situation,complex pattern,default processing strategy,efficient processing,social media,design optimization,text mining,real time,complex event processing,supply chain management,visualization,information extraction
Data mining,Open problem,Computer science,Visualization,Complex event processing,Ranging,Supply chain management,Nested Pattern,Information extraction,Execution time,Database
Conference
Citations 
PageRank 
References 
1
0.36
9
Authors
8
Name
Order
Citations
PageRank
Mo Liu11509.60
Medhabi Ray2343.54
Dazhi Zhang3767.85
Elke A. Rundensteiner44076700.65
Daniel J. Dougherty541332.13
Chetan Gupta631432.42
Song Wang7555.26
Ismail Ari823523.79