PDF-SCALING FEATURE GENERATION

FROM PROTOTYPING TO PRODUCTION AT REWE REWE Systems GmbH March 2019 Benjamin Greve AGENDA March 2019 Scaling Feature Generation 2 1 Introduction 2 Example Project Predicting Brand M arket. Presenter: Hang Cai. Reference. Advisor: . Prof. . . Krishna . Venkatasubramanian. (. kven@wpi.edu. ). Kim, . Duk. -Jin, and B. . Prabhakaran. . "Motion fault detection and isolation in Body Sensor Networks." . Dutch . lAnguage. Investigation. of Summarization . technologY. Katholieke. . Universiteit. Leuven. Rijksuniversiteit. Groningen. Q-go. DAISY on one slide. Segmentation. Rhetorical. classification. Stephen Mayhew. Hyung Sul Kim. 1. Outline. What are features?. How are they defined in NLP tasks in general?. How they are defined specifically for relation extraction. ? (Kernel methods). 2. What are features?. Jens . Kerber. . 1. , . Art . Tevs. . 1. , . Alexander . Belyaev. . 2. ,. Rhaleb. . Zayer. . 3. , . and. . Hans-Peter Seidel. . 1. 1. Max-Planck-. Instut. f. ü. r Informatik, Saarbr. ü. cken. National Consultation on. Community Action for Health. October 28 - 29, 2014. Day One Proceedings . Context setting inaugural. Five thematic sessions:. State experiences of Community Based Planning and Monitoring – Bihar, Maharashtra and Tamil Nadu . 1. , . Tetsuaki. . Matsunawa. 2. . Shigeki Nojima. 2. , . Chikaaki. . Kodama. 2. , . Toshiya . Kotani. 2. . David . Z. Pan. 1. 1. University of Texas at . Austin. 2. Toshiba Corporation, Semiconductor & Storage Products . PGRR042. Objective. Determine best way to address load/ generation imbalance in ERCOT steady state planning analyses. Principles. Load + losses + reserves must balance with generation in . a . powerflow. Dr. . Kamal Kar. Chairman CLTS Foundation . Institute of Development Studies. Brighton, UK. June 11. th. , 2015 . MDG and CLTS in Africa . CLTS was introduced in Africa in 2007. First in Eastern and Southern Africa (Tanzania, Ethiopia Zambia, Kenya) . Project. CRITICAL. Peanuts Cartoon. What are the three types of people depicted in the following cartoon?. What Will Teachers Be Learning?. and. Joe Montecalvo. What Will Teachers Be Learning?. Supplementary Material. Feature Generation for Outlier Detection. School of Computing Science. Simon Fraser University. Vancouver, Canada. Feature Generation for Outlier Detection. aka . Propositionalization. Classification of measurement scales. Nominal Scale. Ordinal Scale. Interval Scale. Ratio Scale. Nominal scale. A nominal scale is the 1st level of measurement scale in which the numbers serve as "tags" or "labels" to classify or identify the objects. A nominal scale usually deals with the non-numeric variables or the numbers that do not have any value.. (including Community Ecology). Big fleas have little fleas. on their back to bite them, . and little fleas have lesser fleas. and so . ad infinitum. .. Swift 1733 (?). Photo of fiddler crabs from Gilbert (2000) . C. hamber. Yunhai Cai. FEL & Beam Physics Department. SLAC National Accelerator Laboratory. TWIICE 2014, Synchrotron SOLEIL, 16-17 January 2014. CSR . Impedance of Parallel-Plates. where h is the distance between two plates, . Data Generation. for. Application-Specific Benchmarking. Background. benchmarks help . research . and development. --- . the dominant database benchmark is TPC. SIGMOD Conference 2011. research track: 87 papers, 17 use TPC (20%).