Corpus ID: 8714410

Probabilistic and fuzzy logic based event processing for effective business intelligence

  title={Probabilistic and fuzzy logic based event processing for effective business intelligence},
  author={Govindasamy Vaiyapuri and Thambidurai Perumal},
  journal={Int. Arab J. Inf. Technol.},
This paper focuses on Probabilistic Complex Event Processing (PCEP) in the context of real world event sources of data streams. [...] Key Method In the first phase, a Non1deterministic Finite Automaton (NFA) based event matching allows to filter the relevant events by discovering the occurrences of the user defined event patterns in a large volume of continuously arriving data streams.Expand
2 Citations
Complex event processing over uncertain events: Techniques, challenges, and future directions
The basics of uncertainty are discussed, models and query processing methods to deal with uncertainty are explored, and the future directions for handling uncertain events in CEP are discussed in detail. Expand
An adaptive parallel processing strategy in complex event processing systems over data streams
A parallelization model and an adaptive parallel processing strategy are proposed for the complex event processing by introducing a histogram, and utilizing the probability and queue theory to estimate the optimal event splitting policy. Expand


Distributed complex event processing with query rewriting
The NEXT CEP system is described that was especially designed for query rewriting and distribution, and experiments on the Emulab test-bed show a significant improvement in system scalability due to rewrite and distribution. Expand
High-performance complex event processing over streams
This paper proposes a complex event language that significantly extends existing event languages to meet the needs of a range of RFID-enabled monitoring applications and describes a query plan-based approach to efficiently implementing this language. Expand
Complex Event Processing
This special issue intends to provide an insight on the applications and principles of Complex Event Processing, and illustrate current trends and challenges in designing powerful, scalable as well as secure event processing systems. Expand
Distributed event stream processing with non-deterministic finite automata
An experimental evaluation of different methods for distributing an event processing system that is based on NFAs across multiple machines in a cluster shows that careful input stream partitioning gives close to linear performance scaleup for CPU bound workloads. Expand
Event queries on correlated probabilistic streams
This paper proposes Lahar1, an event processing system for probabilistic event streams that yields a much higher recall and precision than deterministic techniques operating over only the most probable tuples by using a novel static analysis and novel algorithms. Expand
Processing flows of information: From data stream to complex event processing
A general, unifying model is proposed to capture the different aspects of an IFP system and use it to provide a complete and precise classification of the systems and mechanisms proposed so far. Expand
Probabilistic Complex Event Triggering
The key goal of pcet is to build an in-frastructure that can automatically infer andreason about the probabilities of triggered events, using a principled probabilistic model for the underlying sensor data. Expand
Efficient pattern matching over event streams
This paper presents a formal evaluation model that offers precise semantics for this new class of queries and a query evaluation framework permitting optimizations in a principled way and further analyzes the runtime complexity of query evaluation using this model and develops a suite of techniques that improve runtime efficiency by exploiting sharing in storage and processing. Expand
Complex Event Processing over Unreliable RFID Data Streams
This work proposes an approach to perform CEP directly over unreliable RFID event streams by incorporating cleansing requirements into complex event specifications, and then employ a non-deterministic finite automata (NFA) framework to evaluate the transformed complex events. Expand
High-performance Event Filtering for Distributed Dynamic Multi-point Applications : Survey and Evaluation
High-performance event filtering is an essential service in a distributed systems environment. We are developing an event filtering architecture to efficiently process the large volume of eventExpand