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Complex event processing: History & Technology

Event processing is a method of tracking and analyzing (processing) streams of information (data) about things that happen (events), and deriving a conclusion from them. Complex event processing (CEP) consists of a set of concepts and techniques developed in the early 1990s for processing real-time events and extracting information from event streams as…

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Complex event processing topic overview

The analysis highlights History and Technology as prominent areas in the source structure around Complex event processing.

Related topics
59
Source areas
9
Connected nodes
68
Extracted relationships
39
Concept neighborhoods
30
Bridge connections
68

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Vendors and products · 13 topics
Overview · 12 topics
History · 9 topics
Related concepts · 9 topics
Conceptual description · 7 topics
Integration with business process management · 4 topics
Internet of things and smart cyber-physical systems · 3 topics
Example · 1 topics
Integration with time series databases · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Conceptual description

History

Related concepts

Example

  • Psi Pound per square inch

Integration with business process management

Integration with time series databases

Internet of things and smart cyber-physical systems

Vendors and products

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Complex event processing connects Entity context

The extracted context around Complex event processing shows recurring relationship patterns in the source. For example, Complex event processing → Apache Storm Free, Apama, Azure Stream AnalyticsDrools FusionEsper, CEP, CEP API, Complex, Engine, Event Stream ProcessingWebSphere Business, EventsApache Flink Open-source, Feedzai, GPLv2, High Performance Low Latency, Java, Oracle Event Processing, PulseMicrosoft StreamInsight Microsoft CEP, SAP ESP, Scala, Server, Software AG, SQLstream's Another extracted example is Complex event processing → CEP, Complex, CPS, Internet, IoT, Processing, Reasoning, The. Use these groups to spot repeated connection types before inspecting the individual relationships.

Complex event processing

Top relations

related to Vendors and products · 23
Complex event processing → Apache Storm Free, Apama, Azure Stream AnalyticsDrools FusionEsper, CEP, CEP API, Complex, Engine, Event Stream ProcessingWebSphere Business, EventsApache Flink Open-source, Feedzai, GPLv2, High Performance Low Latency, Java, Oracle Event Processing, PulseMicrosoft StreamInsight Microsoft CEP, SAP ESP, Scala, Server, Software AG, SQLstream's
related to Internet of things and smart cyber-physical systems · 8
Complex event processing → CEP, Complex, CPS, Internet, IoT, Processing, Reasoning, The
related to Integration with time series databases · 5
Complex event processing → BPM, Elements, The, This, Time

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

event events cep business data processing time complex may real-time streams series processes information systems situation new process service car

Complex event processing relationships Subject–Predicate–Object triples

TTTA extracted 39 structured relationships around Complex event processing. Examples in this analysis include financial data sources can be quite low → instance of → because in practice the time resolution of some systems and BPM.The ideal case for CEP analysis is to view historical time series → instance of → This can apply to any vertical industry such as finance and cooperatively with other technologies. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
financial data sources can be quite lowinstance ofbecause in practice the time resolution of some systems0.80text
BPM.The ideal case for CEP analysis is to view historical time seriesinstance ofThis can apply to any vertical industry such as finance and cooperatively with other technologies0.80text
real-time streaming data as a single time continuuminstance ofThis can apply to any vertical industry such as finance and cooperatively with other technologies0.80text
Complex event processingrelated to Integration with time series databasesTime0.60section
Complex event processingrelated to Integration with time series databasesElements0.60section
Complex event processingrelated to Integration with time series databasesThe0.60section
Complex event processingrelated to Integration with time series databasesThis0.60section
Complex event processingrelated to Integration with time series databasesBPM0.60section
Complex event processingrelated to Internet of things and smart cyber-physical systemsComplex0.60section
Complex event processingrelated to Internet of things and smart cyber-physical systemsInternet0.60section
Complex event processingrelated to Internet of things and smart cyber-physical systemsIoT0.60section
Complex event processingrelated to Internet of things and smart cyber-physical systemsCPS0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Complex event processing bring nearby vocabulary together. In this analysis, examples include Processing, Complex and Event. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Complex event processing
    • Processing
    • Complex
    • Event
    • Events
    • Time
    • Stream
    • Process
    • Applications
    • Information
    • Streams
    • Real-time
    • Business
  • complex event processing
    • Processing
    • Streams
    • Complex
    • Stream
    • Event
    • Events
    • Real-time
    • Cep
    • Time
    • Things
    • New
    • Process
  • discrete event simulation
    • Processing
    • Complex
    • Events
    • Cep
    • Time
    • New
    • Process
    • Streams
    • Situation
    • May
    • Business
    • Event-driven
  • event processing technical society
    • Processing
    • Streams
    • Complex
    • Stream
    • Events
    • Real-time
    • Cep
    • Time
    • Things
    • New
    • Process
    • Situation
  • event correlation
    • Processing
    • Complex
    • Events
    • Cep
    • Time
    • New
    • Process
    • Streams
    • Situation
    • May
    • Business
    • Event-driven
  • business process management
    • Cep
    • Process
    • Processes
    • Bpm
    • Intelligence
    • Service
    • Systems
    • Management
    • Applications
    • Real-time
    • Things
    • Event-driven
  • business intelligence
    • Cep
    • Processes
    • Bpm
    • Intelligence
    • Systems
    • Management
    • Applications
    • Real-time
    • Process
    • Internet
    • Also
    • Event-driven
  • oracle event processing
    • Processing
    • Streams
    • Complex
    • Stream
    • Events
    • Real-time
    • Cep
    • Time
    • Things
    • New
    • Process
    • Situation

Connections between topic areas Semantic bridges

For Complex event processing, one of the stronger structural bridges in this analysis connects Complex event processing with Vendors and products. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Complex event processing — Vendors and products · splits 55 ⟂ 14
Complex event processing — Overview · splits 56 ⟂ 13
Complex event processing — History · splits 59 ⟂ 10
Complex event processing — Related concepts · splits 59 ⟂ 10
Complex event processing — Conceptual description · splits 61 ⟂ 8
Complex event processing — Integration with business process management · splits 64 ⟂ 5
Complex event processing — Internet of things and smart cyber-physical systems · splits 65 ⟂ 4

Map overview Semantic statistics

Complex event processing

Nodes69
Edges68
Triples39
Avg. degree1.97
Density0.028986
Components1

Source & methodology

TTTA analyzes the structure around Complex event processing to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Technology, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Complex event processing · EN edition · Analysis: TopicsToTalkAbout

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