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INTEGRATING KNOWLEDGE DISCOVERY WITH KNOWLEDGE BUILDING Ana Melina Vallenilla

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Page 1: Ana Melina Vallenilla. Knowledge Discovery from Data-Mining (KDD): an interdisciplinary area focusing upon methodologies for extracting useful knowledge

INTEGRATING KNOWLEDGE DISCOVERY WITH KNOWLEDGE BUILDING

Ana Melina Vallenilla

Page 2: Ana Melina Vallenilla. Knowledge Discovery from Data-Mining (KDD): an interdisciplinary area focusing upon methodologies for extracting useful knowledge

Knowledge Discovery from Data-Mining (KDD): an interdisciplinary area focusing upon methodologies

for extracting useful knowledge from data

Page 3: Ana Melina Vallenilla. Knowledge Discovery from Data-Mining (KDD): an interdisciplinary area focusing upon methodologies for extracting useful knowledge

But!

Page 4: Ana Melina Vallenilla. Knowledge Discovery from Data-Mining (KDD): an interdisciplinary area focusing upon methodologies for extracting useful knowledge

“The facts, events, things, concepts, models, ideas registered and stored in databases cannot be considered knowledge, since knowledge can

reside only in human minds continuously growing in connection with the inner and outer worlds”

Page 5: Ana Melina Vallenilla. Knowledge Discovery from Data-Mining (KDD): an interdisciplinary area focusing upon methodologies for extracting useful knowledge

“The interpretation of the data mining results does not lead immediately to knowledge. The developed

understanding needs to be tried out in organizational situations such as decision-

making processes”

Page 6: Ana Melina Vallenilla. Knowledge Discovery from Data-Mining (KDD): an interdisciplinary area focusing upon methodologies for extracting useful knowledge

“Organizational actors create new ideas and mental models, reshape previous ones, redefine

conceptual linkages and develop emotional responses towards ideas and models”

Page 7: Ana Melina Vallenilla. Knowledge Discovery from Data-Mining (KDD): an interdisciplinary area focusing upon methodologies for extracting useful knowledge

“Organizational actors create new experiences and relationships with the surrounding reality”

KNOWLEDGE CONSTRUCTION: THE ROLE OF DATA MINING TOOLSMaribel Yasmina Santos & Isabel Ramos

Page 8: Ana Melina Vallenilla. Knowledge Discovery from Data-Mining (KDD): an interdisciplinary area focusing upon methodologies for extracting useful knowledge

Knowledge as collective intelligence is socially constructed from the common understandings of

people and ideas

Page 9: Ana Melina Vallenilla. Knowledge Discovery from Data-Mining (KDD): an interdisciplinary area focusing upon methodologies for extracting useful knowledge

Transdisciplinarity

Knowledge Discovery from Big-

Data

Knowledge building

To reach higher and more complex levels of knowledge

Page 10: Ana Melina Vallenilla. Knowledge Discovery from Data-Mining (KDD): an interdisciplinary area focusing upon methodologies for extracting useful knowledge

"The significant problems we face cannot be solved at the same level of thinking with which we

created them”

Albert Eistein

Page 11: Ana Melina Vallenilla. Knowledge Discovery from Data-Mining (KDD): an interdisciplinary area focusing upon methodologies for extracting useful knowledge

Input from various other scientific disciplines and contribution of scientists with different sets of skills are required to come up with an optimal solution.”

(TRANSDISCIPLINARY SCIENCE METHODOLOGY, Orhan Güvenen)

Page 12: Ana Melina Vallenilla. Knowledge Discovery from Data-Mining (KDD): an interdisciplinary area focusing upon methodologies for extracting useful knowledge

Collaboration is more than cooperation. The action of working together with a

common objective, to produce a piece of work.

Transdisciplinarity: collaboration between disciplines

Page 13: Ana Melina Vallenilla. Knowledge Discovery from Data-Mining (KDD): an interdisciplinary area focusing upon methodologies for extracting useful knowledge

Building bridges between disciplines

Developing of a new ground for long-term collaboration between disciplines on the topic of

Big Data Science.

Incubation of new knowledge.

International networking.

Some of the BigSkyEarth objectives

Page 14: Ana Melina Vallenilla. Knowledge Discovery from Data-Mining (KDD): an interdisciplinary area focusing upon methodologies for extracting useful knowledge

Creativity is the human mental phenomenon based on the effective use of skills and mental

abilities as well as conceptual tools that originate and develop innovation, inspiration or intuition

Imagination plays a vital role in the development of new theories.

Karl Popper, one of the most influential philosophers of the twentieth century

Creativity in sciences!!

Page 15: Ana Melina Vallenilla. Knowledge Discovery from Data-Mining (KDD): an interdisciplinary area focusing upon methodologies for extracting useful knowledge

Let’s build an efficient approach!

Page 16: Ana Melina Vallenilla. Knowledge Discovery from Data-Mining (KDD): an interdisciplinary area focusing upon methodologies for extracting useful knowledge

Social constructivismLev Vygotsky

Collaborative learning

Social constructivism is a variety of cognitive constructivism that emphasizes the collaborative

nature of learning.

Collaborative learning refers to methodologies and environments in which learners engage in a common

task where each individual depends on and is accountable to each other

Learning takes place from experience and knowledge exchange and common reworking of observed events, in

facilitation contexts

Social constructivism also refers to an individual's learning that takes place because of their

interactions in a group

Page 17: Ana Melina Vallenilla. Knowledge Discovery from Data-Mining (KDD): an interdisciplinary area focusing upon methodologies for extracting useful knowledge

Saturation

Verification, the step of the creative process when the idea manifests itself into a reality.

Poincaré

The three stages of innovation/creativityHermann von Helmholtz

Incubation

Illumination

Page 18: Ana Melina Vallenilla. Knowledge Discovery from Data-Mining (KDD): an interdisciplinary area focusing upon methodologies for extracting useful knowledge

Complex solutions

Transdisciplinarity

Collaboration

Interactions

Innovation

Creativity

Page 19: Ana Melina Vallenilla. Knowledge Discovery from Data-Mining (KDD): an interdisciplinary area focusing upon methodologies for extracting useful knowledge

How we do it!?

Page 20: Ana Melina Vallenilla. Knowledge Discovery from Data-Mining (KDD): an interdisciplinary area focusing upon methodologies for extracting useful knowledge

Group of artists use to co-create. A good example of this are the artistic residences.

An artistic residence is a place where artists/experts, cohabit and work together for a

lapse of time, with a common objective;

and where the following elements are present:

A facilitating context (environment, structures, tools and resources),

multidisciplinary collaboration, cohabitation of participants that facilitates interactions and contributes to “saturation” providing enough time to immerse deeply in the work, allow

“incubation” during working pauses. Illumination is possible!! The participants work together with a common objective for co-

creation, the “verification” stage.

Page 21: Ana Melina Vallenilla. Knowledge Discovery from Data-Mining (KDD): an interdisciplinary area focusing upon methodologies for extracting useful knowledge

Scientific residences!!!!

Page 22: Ana Melina Vallenilla. Knowledge Discovery from Data-Mining (KDD): an interdisciplinary area focusing upon methodologies for extracting useful knowledge

To do a joint work within the BigSkyEarth project

feasibility, level of interest,

to look for ways to implement it and to design the process, together

Through a participatory process

How?

Page 23: Ana Melina Vallenilla. Knowledge Discovery from Data-Mining (KDD): an interdisciplinary area focusing upon methodologies for extracting useful knowledge

Thank you for you attention