LEADER 05312nam 2200685 450 001 9910464796903321 005 20200520144314.0 010 $a1-78328-414-5 035 $a(CKB)3710000000117815 035 $a(EBL)1532009 035 $a(SSID)ssj0001294656 035 $a(PQKBManifestationID)11717671 035 $a(PQKBTitleCode)TC0001294656 035 $a(PQKBWorkID)11317704 035 $a(PQKB)10297700 035 $a(MiAaPQ)EBC1532009 035 $a(PPN)228036534 035 $a(Au-PeEL)EBL1532009 035 $a(CaPaEBR)ebr10875454 035 $a(CaONFJC)MIL613592 035 $a(OCoLC)880825220 035 $a(EXLCZ)993710000000117815 100 $a20140603h20142014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMastering Clojure data analysis $eleverage the power and flexibility of Clojure through this practical guide to data analysis /$fEric Rochester ; cover image by Jaros?aw Blaminsky 210 1$aBirmingham, England :$cPackt Publishing Ltd,$d2014. 210 4$dİ2014 215 $a1 online resource (340 p.) 225 1 $aCommunity Experience Distilled 300 $aIncludes index. 311 $a1-78328-413-7 327 $aCover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Network Analysis - The Six Degrees of Kevin Bacon; Analyzing social networks; Getting the data; Understanding graphs; Implementing the graph; Loading the data; Measuring social network graphs; Density; Degrees; Paths; The average path length; Network diameter; Clustering coefficient; Centrality; Degrees of separation; Visualizing the graph; Setting up ClojureScript; A force-directed layout; A hive plot; A pie chart; Summary 327 $aChapter 2: GIS Analysis - Mapping Climate ChangeUnderstanding GIS; Mapping the climate change; Downloading and extracting the data; Downloading the files; Extracting the files; Transforming the data - filtering; Rolling averages; Reading the data; Interpolating sample points and generating heat maps using inverse distance weighting (IDW); Working with map projections; Finding a base map; Working with ArcGIS; Summary; Chapter 3: Topic Modeling - Changing Concerns in State of the Union Addresses; Understanding data in State of the Union addresses; Understanding topic modeling 327 $aPreparing for visualizationsSetting up the project; Getting the data; Loading the data into MALLET; Visualizing with D3 and ClojureScript; Exploring the topics; Exploring topic 43; Exploring topic 26; Exploring topic 42; Summary; Chapter 4: Classifying UFO Sightings; Getting the data; Extracting the data; Dealing with messy data; Visualizing UFO data; Description; Topic modeling descriptions; Hoaxes; Preparing the data; Reading the data into a sequence of data records; Splitting out the NUFORC comments; Categorizing the documents based on the comments 327 $aPartitioning the documents into directories based on the categoriesDividing them into training and test sets; Classifying the data; Coding the classifier interface; Running the classifier and examining the results; Summary; Chapter 5: Benford's Law - Detecting Natural Progressions of Numbers; Learning about Benford's Law; Applying Benford's law to compound interest; Looking at the world population data; Failing Benford's Law; Case studies; Summary; Chapter 6: Sentiment Analysis - Categorizing Hotel Reviews; Understanding sentiment analysis; Getting hotel review data; Exploring the data 327 $aPreparing the dataTokenizing; Creating feature vectors; Creating feature vector functions and POS tagging; Cross validating the results; Calculating error rates; Using the Weka machine learning library; Connecting Weka and cross validation; Understanding maximum entropy classifiers; Understanding naive Bayesian classifiers; Running the experiment; Examining the results; Combining the error rates; Improving the results; Summary; Chapter 7: Null Hypothesis Tests - Analyzing Crime Data; Introducing confirmatory data analysis; Understanding null hypothesis testing; Understanding the process 327 $aFormulating an initial hypothesis 330 $aThis book consists of a practical, example-oriented approach that aims to help you learn how to use Clojure for data analysis quickly and efficiently.This book is great for those who have experience with Clojure and who need to use it to perform data analysis. This book will also be hugely beneficial for readers with basic experience in data analysis and statistics. 410 0$aCommunity experience distilled. 606 $aSocial networks$xMathematical models 606 $aGeographic information systems$zEngland 606 $aApplication software$xDevelopment 608 $aElectronic books. 615 0$aSocial networks$xMathematical models. 615 0$aGeographic information systems 615 0$aApplication software$xDevelopment. 676 $a302.3 700 $aRochester$b Eric$0883734 702 $aBlaminsky$b Jaros?aw 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910464796903321 996 $aMastering Clojure data analysis$92133631 997 $aUNINA