1. Model: Relations and Groups Prabin Gautam CS/SE 6361, Fall 2013 Under the guidance of: Prof. Lawrence Chung University of Texas at Dallas

2. Object relations? Do I know you? How is relation between objects established? How to predict the interaction?

3. An object, example 1 but first, how is an individual object defined?

4. An object, example 2 but first, how is an individual object defined?

5. Relation, example Based on our familiarity with them, it is not hard to predict how they will interact when they meet.

6. Known, Unknown But objects are not always familiar, then predicting relation becomes difficult. known objects: - degree of knowledge/information is different from object to object. - can have unfamiliar traits. unknown objects: - can have some familiar traits and attributes, or - can be completely strange without any familiar traits

7. Other relation Examples Establishing, predicting relations applies in any field. Interactions can be correctly predicted based on better understanding of relation. Other examples: - two biological proteins - two chemical compounds - two business companies - politics: competing views, truth and rhetoric. - economy: two models. Are they complimentary, mutually exclusive, and competitive? - data science: two data - countries: natural allies? - people: compatibility - sports: team members chemistry

8. Grouping How can we categorize them to meaningful group? How are object relation map and grouping related?

9. Grouping By shapes?

10. Grouping By size? It depends on the purpose. What do we want to achieve by forming a group?

11. Grouping, natural phenomenon OR Is it self-occurring that we simply want to understand?

12. Influences: Group, Relation Key Influences to consider: Environment: - It has effect on objects, relations and group. - It is not just about the individual object. The same objects can interact differently in different environment. Change in objects and relation: - Both object and relation may change. - Change can evolve or be sudden. History: - Road looks narrow in the distance for a reason.

13. Interaction: Group, Relation History A B C D ? ? Environment Evolution/ Sudden Changes ? X Y M? N?

14. Group Examples Other examples: - biological protein categories - chemical types - politics: campaign - data science: big data - countries: economic blocs - sports: team formation - etc

15. Importance Why is it important establish, predict relation or form group? - Sound decisions are made based on correct relation analysis. - Easier information processing. - Pattern recognition. - Just for making sense, getting gist. - Extracting valuable info from a big data. - etc.

16. As is - Lack of basic and general purpose model, that helps with relation establishment and prediction, forming groups and subgroups from set of objects - Each field has their own methods - Too simple methods, like grouping by few categories at a time, such as frequency is not enough. In addition to having common group features, It should analyze how new a member fits in with other members, subgroups with in a group. What is the threshold for inclusion? etc

17. To be. Functional Objectives - Basic general purpose model. - Model that can be expanded for specialization. - Model that can be expanded for new knowledge. - Multidimensional model, that takes external influences into account. - Model that includes individual, individual-group, group-group relationship dynamics into account in group formation. - Model that learns from and helps understand natural phenomenon in a cycle.. Non functional Objectives - Simplicity - Adaptability - Extendibility - etc

18. Thank you Questions Thanks to for free images.