Long uglytestingdeck

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Long uglytestingdeck

  1. 1. Episode 01
  2. 2. For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  3. 3. Urban Computing as a Way to Address them [source IEEE Pervasive Computing,July-September 2007 (Vol. 6, No. 3)] 3 OneSpace For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  4. 4. MOST%COMMON%PREDICTIVE%MODELS % •  Clustering%–%finding%groups%and%predic@ng%themes% •  Classifica@on%–%most%popular%“Decision%tree”%% •  Associa@on%–%mul@%assurance%connected%buckets% •  Link%Analysis%–%rela@onships% •  Text%Mining%–%unstructured%data%to%meaning% •  Time%Series%–%predic@ng%a%con@nuous%value% •  Graph%Structure%–%structure%predicts%behavior% For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  5. 5. Community It is a group of populations living together and interacting with each other - sharing the same food, places, shelter, water resources, etc, etc . . . ReeF Fores t For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  6. 6. Verifying Isomorphic graph Graph B Graph A Vertices(A) : a b c d e Vertices(B): q p r s t Degree of vertices: 2 3 3 3 1 Edges(A): e1 e2 e3 e4 e5 e6 Edges(B): e’1 e’4 e’3 e’2 e’5 e’6 For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  7. 7. LIVING THINGS AND THE ENVIRONMENT In this unit we will study the different rolls and impact that the living things have on the environment. There will be a strong focus in the interaction that organisms have among themselves and the environment OBJECTIVE :
  8. 8. How is a cat similar and different from a fish besides the physical appearance ? Organisms that live in different habitats el “ Gato volador ”
  9. 9. What is an Organism ? It’s a Living thing that has (or can develop) the ability to act or function independently
  10. 10. Where do organisms live? They live in their habitats What is a habitat? It is the physical space that has all the propped conditions for an organism to live, and reproduce. It has to provide the necessary food and water needed to survive
  11. 11. Do you think that only one specie can live in a habitat? NO - many species can live in the same habitat What are species ? Species are often defined as a group of organisms capable of interbreeding and producing fertile offspring.
  12. 12. What is a population? Group of organisms of the same specie
  13. 13. Community It is a group of populations living together and interacting with each other - sharing the same food, places, shelter, water resources, etc, etc . . . ReeF Fores t
  14. 14. What is a community ? Is a group of different Populations living in the same area Giraffes population Lions population Hippopotamus population
  15. 15. Take a look at this place this is the community of the Reef
  16. 16. What are the “ Abiotic ” factors? are the Non-Living components of an area, such as air, rocks, soil, water, climate and shelter
  17. 17. What are the Biotic factors? are the Living Organisms of a given area - animals, insects, bacteria, , plants and humans
  18. 18. if you take some Biotic factors
  19. 19. then choose an Abiotic factor
  20. 20. And put them together
  21. 21. > That is an Ecosystem < YEAH !
  22. 22. Degree !  !  !  The degree of vertex in an undirected graph is the number of edges incident to that vertex. A vertex with degree one is called pendent vertex or end vertex. A vertex with degree zero and hence has no incident edges is called an isolated vertex. A V1 B Pendent vertex In the undirected graph vertex v3 has the degree 3 And vertex v2 has the degree 2 Isolated vertex For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  23. 23. For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  24. 24. For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  25. 25. For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  26. 26. For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  27. 27. For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  28. 28. Do you think that only one specie can live in a habitat? NO - many species can live in the same habitat What are species ? Species are often defined as a group of organisms capable of interbreeding and producing fertile offspring. For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  29. 29. What is a population? Group of organisms of the same specie For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  30. 30. > That is an Ecosystem < YEAH For more information visit http://wiki.larkc.eu/UrbanComputing ! Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  31. 31. For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  32. 32. Limiting Factors !  A factor or limiting resource is a factor that controls a process, such as organism growth or species population, size or distribution. The availability of food, predation pressure, hard temperatures or availability of shelter are examples of factors that could be limiting for an organism. An example of a limiting factor is sunlight, which is crucial in rainforests. !  Another example is rain, which can bust an ecosystem in two ways. One way is rain can destroy an ecosystem is flood. Flooding can wash away shelter, food, and even parts of the lifeform's population itself. The other way rain can destroy an ecosystem is drought. The main way it can destroy an ecosystem is the depletion more information visit http://wiki.larkc.eu/UrbanComputing of food sources. For Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  33. 33. Limiting Factors •  A factor or limiting resource is a factor that controls a process, such as organism growth or species population, size or distribution. The availability of food, predation pressure, hard temperatures or availability of shelter are examples of factors that could be limiting for an organism. An example of a limiting factor is sunlight, which is crucial in rainforests. •  Another example is rain, which can bust an ecosystem in two ways. One way is rain can destroy an ecosystem is flood. Flooding can wash away shelter, food, and even parts of the life-form's population itself. The other way rain can destroy an ecosystem is drought. The main way it can
  34. 34. Challenging the Internet of the Future with Urban Computing Lecturer: Emanuele Della Valle emanuele.dellavalle@cefriel.it Authors: http://swa.cefriel.it Emanuele Della Valle, Irene Celino, Kono Kim, Zhisheng Huang, http://emanueledellavalle.org Volker Tresp, Werner Hauptmann, and Yi Huang
  35. 35. Cities are alive !  !  Cities born, grow, evolve like living beings. The state of a city changes continuously, influenced by a lot of factors, !  !  human ones: people moving in the city or extending it natural ones: precipitations or climate changes [source http://www.citysense.com] 2 OneSpace For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  36. 36. Availability of Data !  !  Some years ago, due to the lack of data, solving Urban Computing problems with ICT looked like a Sci-Fi idea. Nowadays, a large amount of the required information can be made available on the Internet at almost no cost: !  !  !  !  !  !  !  We are running a survey (please contribute), see !  !  4 maps with the commercial activities and meeting places, events scheduled in the city and their locations, average speed in highways, but also normal streets positions and speed of public transportation vehicles parking availabilities in specific parking areas, and so on. OneSpace http://wiki.larkc.eu/UrbanComputing/ShowUsABetterWay http://wiki.larkc.eu/UrbanComputing/OtherDataSources For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  37. 37. The LarKC project c.eu ! ://www.lark Visit http [Source: Fensel, D., van Harmelen, F.: Unifying reasoning and search to web scale. IEEE Internet Computing 11(2) (2007)] 5 OneSpace For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  38. 38. A Challenging Use Case 1/5 Actors: Varese Carlo: a citizen living in Varese. The day after, he has to go to Lombardy Region premises in Milano at 11.00. !  UCS: a fictitious Urban Computing System of Milano area Ways to Milano !  6 OneSpace Milano For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  39. 39. Vision for Urban Computing Mobility Tourism City Planning 7 OneSpace Culture For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  40. 40. Thank you for paying attention Any Questions? 8 OneSpace For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  41. 41. Challenging the Internet of the Future with Urban Computing Lecturer: Emanuele Della Valle emanuele.dellavalle@cefriel.it Authors: http://swa.cefriel.it Emanuele Della Valle, Irene Celino, Kono Kim, Zhisheng Huang, http://emanueledellavalle.org Volker Tresp, Werner Hauptmann, and Yi Huang
  42. 42. Insights – Analysis – Content Engineering When Big Data and Predictive Analytics Collide: Visual Magic Happens For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  43. 43. The Problem: Massive data explosion (mobile, social, wearable, cloud, m2m etc.) and brands are struggling to make use of this data. For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  44. 44. For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  45. 45. Then, Now & Where We’re going For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  46. 46. Where We’re Going – Pattern prediction For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  47. 47. Where to go For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  48. 48. KDD-Nuggets http://kdnuggets.com RapidMiner http://rapid-i.com R Statistical Computing http://www.r-project.org Revolution Analytics http://www.revolutionanalytics.com Teradata http://www.teradata.com Tableau http://tableausoftware.com Spotfire http://spotfire.tibco.com SAS http://www.sas.com IBM SPSS http://www.ib.com/software/analytics/spss Mahout https://cwiki.apahce.org/confluence/display/MAHOUT/Algoriths Weka Open Source Data mining http://www.cs.waikato.ac.nz/ml/weka Pajek and (large) network analysis and visualization. http://webdatacommons.org/hyperlinkgraph For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  49. 49. !  Tableau Demo http://public.tableausoftware.com/views/ PredictiveDataVisualizationwithSSASDataMining/ Classification#1 For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  50. 50. For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  51. 51. Content Marketing Flow = data For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  52. 52. Visual Content Hub For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  53. 53. For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  54. 54. For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  55. 55. We’re%Here%to%Help%You % Great Social Engagement Is About Knowing what drives engagement @chasemcmichael%sales@infinigraph.com % @infinigraph % hNp://smo.infinigraph.com % hNp://www.infinigraph.com % YouTube%%/infinigraph % Slideshare%%/infinigraph % For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project
  56. 56. Graphs Part-II
  57. 57. Predictive Analytics Predictive Analytics enables decision makers to predict future events and proactively act on that insight to drive better business. For more information visit http://wiki.larkc.eu/UrbanComputing Seven Framework Programme Information Society Technologies (IST) Specific Targeted Research Project

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