1. ICDSST 2015 Conference on Big Data Analytics for Decision Making
POSTER – TITLE
POSTER – TITLE - Template for Posters
Author Name 1, Author Name 2
Institution / Company
Address, City Code City, Country
web-page:
Abstract Abstract AbstractAbstract Abstract AbstractAbstract Abstract AbstractAbstract Abstract Abstract Abstract AbstractAbstract Abstract AbstractAbstract Abstract AbstractAbstract Abstract AbstractAbstract Abstract AbstractAbstract Abstract AbstractAbstract Abstract AbstractAbstract Abstract AbstractAbstract Abstract AbstractAbstract Abstract AbstractAbstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract AbstractAbstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract AbstractAbstract Abstract AbstractAbstract Abstract AbstractAbstract Abstract AbstractAbstract Abstract Abstract Abstract AbstractAbstract Abstract AbstractAbstract Abstract AbstractAbstract Abstract AbstractAbstract Abstract AbstractAbstract Abstract AbstractAbstract Abstract AbstractAbstract Abstract AbstractAbstract Abstract AbstractAbstract Abstract AbstractAbstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract AbstractAbstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract Abstract …
ILLUSTRATION EXAMPLE.
ILLUSTRATION
DM Requirements guiding KM Processes and vice-versa C B A PK
DM Requirements
Knowledge
Repository
(KB)
Knowledge Access for decision making
(e.g.: interactive visualizations in group settings)
Knowledge Filtering
(without losing requisite diversity)
Knowledge Sharing
(as a by-product of the KM cycle)
Final Decision Analysis
(generating the best one(s) to be taken)
Feedback for KM
knowledge creation / learning tech.
A, B, C = Working Environments (local / distributed mode) ; PK = Private Knowledge;
SK = Shared Knowledge (continuously updated via networking capabilities)
SUPPORTING TEXT:
Item 1;
Item 2; …;
Item 3;
Item 4
Text 1  Text 2
Remarks
Remarkss
CONCLUSIONS & REMARKS:
text;
text
text.
Conclusions , conclusions, conclusions….