PPT-Clustering tweets and webpages

Saket vishwasrao Swapna thorve May 3 2016 Spring 2016 CS 5604 Information storage and retrieval Instructor Dr Edward Fox Virginia Polytechnic Institute and State University Blacksburg VA 24061. Fiery Phoenix . Parents/Guardians!. -Stephanie Vaughn (Pre-Algebra/Algebra Teacher). -Joelle Swift (Learning Support Teacher). Math Calculators. Please make sure your student has one of the following calculators. NO GRAPHING CALCULATORS NEEDED!. To know: the basics of website . design. B – . To understand where to place different . elements. A . - . To be able to add pages, change page colour and add a navigation bar in . webplus. Most able students assisting others.. Lecture outline. Distance/Similarity between data objects. Data objects as geometric data points. Clustering problems and algorithms . K-means. K-median. K-center. What is clustering?. A . grouping. of data objects such that the objects . Missteps and Milestones Using Twitter in the Classroom. Mary T. Rogus. Ohio University. @. MTRogus. Television News Producing class. Very difficult to give students practice in breaking news. Twitter offered way to simulate breaking news. 1. Xiaoming Gao, Emilio Ferrara, Judy . Qiu. School of Informatics and Computing. Indiana University. Outline. Background and motivation. Sequential social media stream clustering algorithm. Parallel algorithm. issue in . computing a representative simplicial complex. . Mapper does . not place any conditions on the clustering . algorithm. Thus . any domain-specific clustering algorithm can . be used.. We . What is clustering?. Why would we want to cluster?. How would you determine clusters?. How can you do this efficiently?. K-means Clustering. Strengths. Simple iterative method. User provides “K”. Unsupervised . learning. Seeks to organize data . into . “reasonable” . groups. Often based . on some similarity (or distance) measure defined over data . elements. Quantitative characterization may include. Kim . kardashian. Why. are they a celeb?. Reality TV. How. many current followers. 49.3 million. How many tweets. sent. 22.5K. Nature of first. tweet. As below, saying hello to the world, stroking. Lecture outline. Distance/Similarity between data objects. Data objects as geometric data points. Clustering problems and algorithms . K-means. K-median. K-center. What is clustering?. A . grouping. of data objects such that the objects . Arpitha G et al , Computer Science and Mobile Computing, Vol.7 Issue.4 , April - 2018 , pg. 76 - 81 Log. 2. transformation. Row centering and normalization. Filtering. Log. 2. Transformation. Log. 2. -transformation makes sure that the noise is independent of the mean and similar differences have the same meaning along the dynamic range of the values.. Randomization tests. Cluster Validity . All clustering algorithms provided with a set of points output a clustering. How . to evaluate the “goodness” of the resulting clusters?. Tricky because . SEO SUCESS FACTORS FOR SMEs.  . Daisy Alondra Cortez, Nathaly Taiz Leon, Sydney Taylor Jue, Tiara Francis Smith.   . Visual Studio Code. Used for development for the web interface. VSC has a great deal of extensions prebuilt into the application so we can use it for multiple languages.