PPT-Aggregating Knowledge in a

Data Warehouse and Multidimensional Analysis Rafal Lukawiecki Strategic Consultant Project Botticelli Ltd rafalprojectbotticellicom Objectives Explain the basics of Data Warehousing ETL OLAPMultidimensional Data. Knowledge by description We know of by description if we know a descrip tion and we know that there is just one object to which this description applies where the description is composed entirely of terms with whose referents we are acquainted Since com Thore Graepel Microsoft Research thoregmicrosoftcom Gjergji Kasneci Microsoft Research gkasnecigmailcom Michal Kosinski University of Cambridge mk583camacuk Jurgen Van Gael Microsoft Research jurgenvangaelgmailcom ABSTRACT We show how the quality Bernstein Osama Badar David R Karger Samuel Madden Robert C Miller MIT CSAIL 32 Vassar St Cambridge MA marcua msbernst badar karger madden rcm csailmitedu ABSTRACT Microblogs are a tremendous repository of usergenerated content about world events Ho cmuedu nglancegooglecom zachreitergooglecom Google Inc Pittsburgh PA Carnegie Mellon University Pittsburgh PA Abstract Given a set of reviews of products or merchants from a wide range of authors and several reviews websites how can we measure the tr Volkovs University of Toronto 40 St George Street Toronto ON M5S 2E4 mvolkovscstorontoedu Hugo Larochelle Universit57577 de Sherbrooke 2500 boul de lUniversit Sherbrooke QC J1K 2R1 hugolarochelleusherbrookeca Richard S Zemel University of Toronto 40 Yang, . QingXiong. (. 杨庆雄. ). City University of Hong Kong. 3. 6. 9. 2. 5. 8. 1. 4. 7. A 2D image (. 3x3. ). =>. a planar graph. 3. 6. 9. 2. 5. 8. 1. 4. 7. Computing minimum spanning tree (MST). paradoxes. . and . unsettling . relations . in the . politics of co-production in University-based mental health. research . Dina Poursanidou, University of Manchester, UK . Tim Rawcliffe, NW Coast NIHR Clinical Research Network, UK . Conceptual Procedural Cognitive Terminology Specific ClassificationsandCategories PrinciplesandGeneralizations and and Techniques Knowledge Knowledge SelfKnowledgeKnowledge of…Knowledge of… Theparadigmisoftheoreticalinterestbecauseitshowsthatthereisafun-damentalalternativetothedominantapproachtoclassicationlearning.Thedominantapproachperformssearchthroughahypothesisspacetoidentifythehyp Data Warehouse and Multidimensional Analysis. Rafal Lukawiecki. Strategic Consultant, Project Botticelli Ltd. rafal@projectbotticelli.com. Objectives. Explain the basics of:. Data Warehousing. ETL. OLAP/Multidimensional Data. Emily Gagnon and Professor . Angie Hart. Boingboing. social enterprise/University of Brighton. Communities of Practice. “…groups of people informally bound together by shared expertise and passion for a joint enterprise” . STRUCTURED FLOTSAM AS FISH AGGREGATING DEVICES Shomura and .. NOAA-TM-NMFS-S WFC-22 October 1982 Oceanic and Atmospheric Administration Fisheries Service NOAA Technical Memorandum NMFS STRUCTUR Where might knowledge reside?. “En. coded”. knowledge. Text, . programming, . “Em. brained. ” knowledge. CEO, chess player, fire fighter. “Em. bodied. ” knowledge. Learning by doing; learning occurs not just in the brain, body memory . Why Depth of Knowledge?. Mechanism to ensure that the intent of the . standard . and the level of student demonstration . required . by that standard matches . the assessment . items (required under NCLB) .