Discovery Task

A Discovery Task is a ... task that returns patterns in data (to uncover unknown relationships and hidden structures).

• Context:
  • It can (typically) involve Core Discovery Elements, such as:
    • It can require systematic observation of data patterns.
    • It can include pattern analysis for relationship identification.
    • It can demand validation processes for discovery verification.
  • It can (typically) utilize Discovery Methods, such as:
    • It can employ exploratory analysis for pattern detection.
    • It can use statistical techniques for correlation finding.
    • It can leverage visualization tools for pattern recognition.
  • It can (often) face Discovery Challenges, such as:
    • It can encounter data noise requiring filtering techniques.
    • It can confront pattern complexity needing advanced analysis.
    • It can address scale issues demanding efficient processing.
  • It can range from being a Manual Discovery Task to being an Automated Discovery Task, depending on its execution method.
  • It can range from being a Heuristic Discovery Task to being a Data-Driven Discovery Task, depending on its approach type.
  • It can range from being a Simple Pattern Discovery to being a Complex Relationship Discovery, depending on its discovery scope.
  • ...
• Examples:
  • Data Analysis Discoverys, such as:
    • Data Mining Task, discovering hidden patterns in large datasets.
    • Cluster Analysis Task, finding natural groupings.
    • Association Rule Discovery, identifying correlation patterns.
  • Scientific Discoverys, such as:
    • Scientific Knowledge Discovery Task, uncovering natural laws.
    • Experimental Discovery Task, testing hypothesises.
    • Observational Discovery Task, documenting phenomenons.
  • Business Intelligence Discoverys, such as:
    • Market Pattern Discovery, identifying consumer behaviors.
    • Process Efficiency Discovery, finding optimization opportunitys.
    • Risk Pattern Discovery, detecting potential threats.
  • Social Pattern Discoverys, such as:
    • Network Analysis Task, mapping relationship structures.
    • Behavior Pattern Discovery, understanding social dynamics.
    • Trend Discovery Task, identifying emerging patterns.
  • ...
• Counter-Examples:
  • Search Task, which locates known items rather than discovering new patterns.
  • Finding Task, which retrieves existing information rather than uncovering new relationships.
  • Verification Task, which confirms known hypothesises rather than discovering new knowledge.
  • Implementation Task, which applies known solutions rather than discovering new approaches.
• See: Exploratory Data Analysis, Scientific Experiment, Observation, Science, Empirical Research, Pattern Recognition.

---

---

References

2015

• (Wikipedia, 2015) ⇒ http://en.wikipedia.org/wiki/discovery_(observation) Retrieved:2015-11-8.
  • Discovery is the act of detecting something new, or something "old" that had been unknown. With reference to science and academic disciplines, discovery is the observation of new phenomena, new actions, or new events and providing new reasoning to explain the knowledge gathered through such observations with previously acquired knowledge from abstract thought and everyday experiences. A discovery may sometimes be based on earlier discoveries, collaborations, or ideas. Some discoveries represent a radical breakthrough in knowledge or technology.

1997

• (Susuki, 1997) ⇒ Einoshin Suzuki. (1997). “Autonomous Discovery of Reliable Exception Rules.” In: Proceedings of KDD Conference (KDD 1997)
  • QUOTE: In our algorithm, a discovery task is viewed as a search problem, in which a node of a search tree represents a rule pair …

---