Search For:

Displaying 1-16 out of 16 total
Detecting changes in a semi-structured business process through spectral graph analysis
Found in: Data Engineering Workshops, 22nd International Conference on
By Geetika T. Lakshmanan,Paul T. Keyser,Songyun Duan
Issue Date:April 2011
pp. 255-260
Semi-structured business processes are emerging at a rapid pace in industries such as government, insurance, banking and healthcare. The workflows underlying these case-oriented processes are non-deterministic. They are mostly driven by human decision maki...
 
A Business Centric Monitoring Approach for Heterogeneous Service Composites
Found in: Services Computing, IEEE International Conference on
By Geetika T. Lakshmanan,Paul T. Keyser,Aleksander Slominski,Francisco Curbera
Issue Date:July 2011
pp. 671-678
Enterprise applications today are composed of multiple independently executing services and processes that collectively provide a solution to a business problem. These composite applications contain a heterogeneous collection of services that execute in a ...
 
Business Process Insight: An Approach and Platform for the Discovery and Analysis of End-to-End Business Processes
Found in: 2012 Annual SRII Global Conference (SRII)
By Szabolcs Rozsnyai,Geetika T. Lakshmanan,Vinod Muthusamy,Rania Khalaf,Matthew J. Duftler
Issue Date:July 2012
pp. 80-89
Tracking and analyzing the execution of semi-structured processes is essential for understanding process behavior and its evolution, increasing the effectiveness of business operations, and managing operational risk. A semi structured process is a single p...
 
Automated correlation discovery for semi-structured business processes
Found in: Data Engineering Workshops, 22nd International Conference on
By Szabolcs Rozsnyai,Aleksander Slominski,Geetika T. Lakshmanan
Issue Date:April 2011
pp. 261-266
In this paper we describe an algorithm to automatically detect correlation identifiers from arbitrary data sources. Correlation identifiers can be useful for determining relationships between data in order to isolate instances of a running business process...
 
Dynamic Collective Work [Guest editors' introduction]
Found in: IEEE Internet Computing
By Geetika T. Lakshmanan,Rania Khalaf,Schahram Dustdar
Issue Date:September 2013
pp. 6-9
The Internet's growth, and the proliferation of online collaboration tools and platforms and the federated systems that support them, have enabled ad hoc processes in which people interact in a dynamic collective way. Such activities are characterized by t...
   
Integrated case management history and analytics
Found in: Data Engineering Workshops, 22nd International Conference on
By Axel Martens,Geetika T. Lakshmanan,Nirmal K. Mukhi,Rania Khalaf
Issue Date:April 2011
pp. 238-242
Advanced case management gives enterprises the flexibility to organize their business operations in an efficient and transparent manner while providing knowledge workers the opportunity to proceed towards their goals and to react to exceptions as required ...
 
Guest Editors' Introduction: Provenance in Web Applications
Found in: IEEE Internet Computing
By Geetika T. Lakshmanan, Francisco Curbera, Juliana Freire, Amit Sheth
Issue Date:January 2011
pp. 17-21
Provenance, from the French word provenir,
 
A Business Centric End-to-End Monitoring Approach for Service Composites
Found in: Services Computing, IEEE International Conference on
By Geetika T. Lakshmanan, Paul Keyser, Aleksander Slominski, Francisco Curbera, Rania Khalaf
Issue Date:July 2010
pp. 409-416
Enterprise applications today are composed of multiple independently executing services and processes that collectively provide a solution to a business problem. These composite applications contain a heterogeneous collection of services that execute in a ...
 
Placement Strategies for Internet-Scale Data Stream Systems
Found in: IEEE Internet Computing
By Geetika T. Lakshmanan, Ying Li, Rob Strom
Issue Date:November 2008
pp. 50-60
Optimally assigning streaming tasks to network machines is a key factor that influences a large data-stream-processing system's performance. Although researchers have prototyped and investigated various algorithms for task placement in data stream manageme...
 
Leveraging Process-Mining Techniques
Found in: IT Professional
By Geetika T. Lakshmanan,Rania Khalaf
Issue Date:September 2013
pp. 22-30
Semi-structured processes are data-driven, human-centric, flexible processes whose execution between instances can vary dramatically. Due to their unpredictability and data-driven nature, it's becoming increasingly important to mine traces of events collec...
 
Advanced Case Management Enabled by Business Provenance
Found in: 2012 IEEE 19th International Conference on Web Services (ICWS)
By Axel Martens,Aleksander Slominski,Geetika T. Lakshmanan,Nirmal Mukhi
Issue Date:June 2012
pp. 639-641
Most human centric business activities, like the handling of an insurance claim or the design of an IT solution, do not follow a formal process model word-by-word. While there are often underlying processes in place, the real business operation typically e...
 
Knowledge Discovery in the Blogosphere: Approaches and Challenges
Found in: IEEE Internet Computing
By Geetika T. Lakshmanan, Martin A. Oberhofer
Issue Date:March 2010
pp. 24-32
Knowledge discovery in blogs is different from knowledge discovery in areas such as databases or Web documents due to blogs' unique characteristics, which introduce additional mining challenges. Although researchers have investigated several techniques to ...
 
Business-centric monitoring of service composites
Found in: Proceedings of the Workshop on Posters and Demos Track (PDT '11)
By Aleksander Slominski, Francisco Curbera, Geetika T. Lakshmanan, John Alcorn, Paul T. Keyser
Issue Date:December 2011
pp. 1-2
Monitoring enterprise applications that consist of multiple heterogeneous components executing in different runtimes is a challenging problem particularly from a business centric perspective. We propose a business centric monitoring approach that involves ...
     
Discovering event correlation rules for semi-structured business processes
Found in: Proceedings of the 5th ACM international conference on Distributed event-based system (DEBS '11)
By Aleksander Slominski, Geetika T. Lakshmanan, Szabolcs Rozsnyai
Issue Date:July 2011
pp. 75-86
In this paper we describe an algorithm to discover event correlation rules from arbitrary data sources. Correlation rules can be useful for determining relationships between events in order to isolate instances of a running business process for the purpose...
     
Placement of replicated tasks for distributed stream processing systems
Found in: Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems (DEBS '10)
By Geetika T. Lakshmanan, Rob Strom, Ying Li
Issue Date:July 2010
pp. 128-139
We propose an algorithm for placing tasks of data flows for streaming systems onto servers within a message-oriented middleware where certain tasks can be replicated. Our work is centered on the idea that certain transformations are stateless and can there...
     
A stratified approach for supporting high throughput event processing applications
Found in: Proceedings of the Third ACM International Conference on Distributed Event-Based Systems (DEBS '09)
By Geetika T. Lakshmanan, Opher Etzion, Yuri G. Rabinovich
Issue Date:July 2009
pp. 1-12
The quantity of events that a single application needs to process is constantly increasing. RFID related events have doubled within the past year and reached 4 trillion events per day, financial applications in large banks are processing 400 million events...
     
 1