PPT-Probabilistic Data Management

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. Component-Based Shape Synthesis. Evangelos. . Kalogerakis. , . Siddhartha . Chaudhuri. , . Daphne . Koller. , . Vladlen. . Koltun. Stanford . University. Goal: generative model of shape. Goal: generative model of shape. SUM 2013. Batya. . Kenig. Avigdor. Gal. Ofer. . Strichman. Probabilistic Databases for managing uncertain data. A variety of data sources generate incomplete, noisy and uncertain data (sensor networks, information extraction, data integration…). . How the Quest for the Ultimate Learning Machine Will Remake Our World. Pedro Domingos. University of Washington. Machine Learning. Traditional Programming. Machine Learning. Computer. Data. Algorithm. Ashish Srivastava. Harshil Pathak. Introduction to Probabilistic Automaton. Deterministic Probabilistic Finite Automata. Probabilistic Finite Automaton. Probably Approximately Correct (PAC) learnability. Arijit Khan. Systems Group. ETH Zurich. Lei Chen. Hong . Kong University of Science and Technology. Social Network. Transportation Network. Chemical Compound. Biological Network. Graphs are Everywhere. Ashish Srivastava. Harshil Pathak. Introduction to Probabilistic Automaton. Deterministic Probabilistic Finite Automata. Probabilistic Finite Automaton. Probably Approximately Correct (PAC) learnability. Pérez. Nicolás. . Suárez. CRIDA A.I.E.. COmbining. Probable . TRAjectories. — COPTRA. Brussels 5. th. of October . 2016. COmbining. Probable . TRAjectories. — COPTRA. 2. Introduction. COPTRA . (November 16, PLWG). Contents. Introduction. Deterministic Vs Probabilistic. Applications . Efforts and Issues. Next Steps & Summary. Appendices. 2. Introduction. Motivation. Increasing uncertainties (intermittent generation, . 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 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. 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 5: Probabilistic Query Answering (3). 2. Objectives. In this chapter, you will:. Learn the definition and query processing techniques of a probabilistic query type. Probabilistic Reverse Nearest Neighbor Query. Chapter 7: Probabilistic Query Answering (5). 2. Objectives. In this chapter, you will:. Explore the definitions of more probabilistic query types. Probabilistic skyline query. Probabilistic reverse skyline query. Nathan Clement. Computational Sciences Laboratory. Brigham Young University. Provo, Utah, USA. Next-Generation Sequencing. Problem Statement . Map next-generation sequence reads with variable nucleotide confidence to .