PPT-Making Better Decisions in an Uncertain World

Reservoir Operations Modeling Modeling Reservoirs Continuity Equation Balance multiple objectives Represent operational controls Basic Processes Evaporation Spillway Outlet Seepage Sedimentation. “It doesn’t matter which side of the fence you get off . on . sometimes. . What . matters most is getting off. You cannot make progress without making decisions. .”. Jim . Rohn. . “Nothing is more difficult, and therefore more precious, than to be able to decide.”. Volume. Temperature. Mass. Reading the Meniscus. Always read volume from the bottom of the . meniscus. . The meniscus is the curved surface of a liquid in a narrow cylindrical container.. Try to avoid parallax errors.. Doug Burdick, Prasad Deshpande, T. S. . Jayram. , . Raghu . Ramakrishnan. , . Shivakumar. . Vaithyanathan. Presented by . Raghav. . Sagar. OLAP Overview. Online Analytical Processing (OLAP). Interactive analysis of data, allowing data to be summarized and viewed in different ways in an online . School of Computing. National University of Singapore. Department of Computer Science. Aalborg. University. Meihui. Zhang. , Su Chen, Christian S. Jensen, . Beng. Chin . Ooi. , . Zhenjie. Zhang. Data Uncertainty: . Modeling and Querying. Mohamed F. Mokbel. Department of Computer Science and Engineering. University of Minnesota. www.cs.umn.edu/~mokbel. mokbel@cs.umn.edu. 2. Talk Outline. Introduction to Uncertain Data. School of Computing. National University of Singapore. Department of Computer Science. Aalborg. University. Meihui. Zhang. , Su Chen, Christian S. Jensen, . Beng. Chin . Ooi. , . Zhenjie. Zhang. Chapter 1: An Overview of Probabilistic Data Management. 2. Objectives. In this chapter, you will:. Get to know what uncertain data look like. Explore causes of uncertain data in different applications. 指導教授：陳良弼 老師. 報告者：鄧雅文 . 97753034. Introduction. Related Work. Problem Formulation. Future Work. Outline. Top-. k. query on certain data. Rank results according to a user-defined score. .  .  . Learning Outcome Assessment 2. Sec/102. Summer 2012. Dr Ali . Alghazo. Jehad. . AlGhamdi. : 200900201. Bader Al-. Hamed. : 200901007. Outline. Evaluating Decision Making. The Logic of Decision Making. Chapter 3: Probabilistic Query Answering (1). 2. Objectives. In this chapter, you will:. Learn the challenge of probabilistic query answering on uncertain data. Become familiar with the . framework for probabilistic . Chapter 2: . Data . Uncertainty Model. 2. Objectives. In this chapter, you will:. Learn the formal definition of uncertain data. Explore different granularities of data uncertainty. Become familiar with different representations of uncertain data. Chapter 3: Probabilistic Query Answering (1). 2. Objectives. In this chapter, you will:. Learn the challenge of probabilistic query answering on uncertain data. Become familiar with the . framework for probabilistic . Data Uncertainty: . Modeling and Querying. Mohamed F. Mokbel. Department of Computer Science and Engineering. University of Minnesota. www.cs.umn.edu/~mokbel. mokbel@cs.umn.edu. 2. Talk Outline. Introduction to Uncertain Data. Wherever you roam. And admit that the waters. Around you have grown. And accept it that soon. You'll be drenched to the bone.. If your time to you. Is worth savin'. Then you better start swimmin'. Or you'll sink like a stone.