1. A New MongoDB ShardingArchitecture for HigherAvailability and BetterResource UtilizationLeif Walsh@leifwalsh 2. A TraditionalMongoDB Cluster• 3 shards.• 3 replicas…

Mathematics in quality assu rance MATHEMATIQA *Equivalence classes partitionin g *Boundary Value Analysis (abridged version) Alexandr Szpinkowski, PhD Plan • Philosophical…

Decision TreeDecision Tree R. Akerkar TMRF, Kolhapur, India 1R. Akerkar Introduction  A classification scheme which generates a tree and g a set of rules from given data…

Multiple optimal learning factors for the multi-layer perceptron Sanjeev S. Malalur, Michael T. Manry n, Praveen Jesudhas University of Texas at Arlington, Department of…

Slide 1 Data Reduction Purpose Obtain a reduced representation of the dataset that is much smaller in volume, yet closely maintains the integrity of the original data Strategies…

MIT111 Data Structures & Algorithm Analysis Jose B. Tan, Jr. - MSCS, CCNA Sorting (I) Sorting Given a set (container) of n elements E.g. array, set of words, etc. Suppose…

International Journal of Computer Applications (0975 – 8887) Volume 96– No.4, June 2014 1 K-Means Cluster Analysis for Image Segmentation S. M. Aqil Burney Institute…

Chapter 10. Data Abstraction & Problem Solving with C++, Fifth Edition. by Frank M. Carrano Trees are composed of nodes and edges Trees are hierarchical Parent-child…

Slide 1On Complexity, Sampling, and -Nets and -Samples Slide 2 Range Spaces A range space is a pair, where is a ground set, it’s elements called points and is a family…

Slide 1 1 K-clustering in Wireless Ad Hoc Networks Fernandess and Malkhi Hebrew University of Jerusalem Presented by: Ashish Deopura Slide 2 2 Outline of the presentation…