PPT-System Aspects of Probabilistic Data Management

Magdalena Balazinska Christopher Ré and Dan Suciu University of Washington One slide overview of motivation Data are uncertain in many applications Business Dedup Info Extraction. A Study of 3000+ Issues . in . Cloud Systems . Jeffry . Adityatama. , . Kurnia. J. . Eliazar. , . Agung. . Laksono. , Jeffrey F. . Lukman. , . Vincentius. Martin, and . Anang. D. . Satria. . Haryadi. 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. (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 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 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 . Magdalena . Balazinska. ,. Christopher . Ré. . and Dan . Suciu. University of Washington. One slide overview of motivation. Data are . uncertain. in many applications. Business: . Dedup. , Info. Extraction. 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. Assessing risk, . considering chances and uncertainties.. What is Probability?. “A strong likelihood or chance of something” (dictionary.com). “The likelihood of something occurring or the chance of something happening” (yourdictionary.com). CS772A: Probabilistic Machine Learning. Piyush Rai. Course Logistics. Course Name: Probabilistic Machine Learning – . CS772A. 2 classes each week. Mon/. Thur. 18:00-19:30. Venue: KD-101. All material (readings etc) will be posted on course webpage (internal access). Community health offsite meeting. Geneva, 21 August 2015. Purpose of RAMP. To provide a system with which RCRC National Societies and other partners can conduct surveys, assessments, evaluations, monitor activities, and manage projects:. Part II: Advanced Topics. Magdalena . Balazinska. ,. Christopher Re. and Dan . Suciu. University of Washington. Recap of motivation. Data are . uncertain. in many applications. Business: . Dedup. , Info. Extraction.