Mathematical structures for computer science
In: Series of books in the mathematical sciences
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In: Series of books in the mathematical sciences
World Affairs Online
In: Studies in Classification, Data Analysis, and Knowledge Organization
"Data Analysis" in the broadest sense is the general term for a field of activities of ever-increasing importance in a time called the information age. It covers new areas with such trendy labels as, e.g., data mining or web mining as well as traditional directions emphazising, e.g., classification or knowledge organization. Leading researchers in data analysis have contributed to this volume and delivered papers on aspects ranging from scientific modeling to practical application. They have devoted their latest contributions to a book edited to honor a colleague and friend, Hans-Hermann Bock, who has been active in this field for nearly thirty years
In: Advances in Sustainability Science and Technology Ser.
Intro -- Foreword -- Preface -- Contents -- Authors and Contributors -- Part IEnvironment-A Fact-Based Study using Tree Census and Air Pollution Data -- 1 Inching Towards Sustainable Smart Cities-Literature Review and Data Preparation -- 1.1 Introduction -- 1.2 Literature Review -- 1.3 Data Preparation: Tree Census Data -- 1.3.1 Understanding the Importance of Tree Census -- 1.3.2 Introduction to Tree Census Open Data -- 1.3.3 Data Profiling of Tree Census Open Data -- 1.3.4 Data Cleaning and Wrangling for Analysis -- 1.4 Data Preparation: Air Pollution Data -- 1.4.1 Understanding Air Pollution -- 1.4.2 Introduction to Air Pollution Open Data -- 1.4.3 Data Profiling of Air Pollution Open Data -- 1.4.4 Data Cleaning and Wrangling for Analysis -- 1.5 Conclusion -- References -- 2 Exploring Air Pollution and Green Cover Dataset-A Quantitative Approach -- 2.1 Data Exploration: Tree Census -- 2.1.1 Hexbin Plot Representing Tree Density -- 2.1.2 Pie Chart Representing the Categories of Tree Condition -- 2.1.3 Violin Plots to Study Health-Category-Wise Distribution of Girth -- 2.1.4 Scatter Plot to Spot Clusters of Poor Quality and Dead Trees -- 2.1.5 Mode of All Categorical Variables -- 2.1.6 Top 10 Wards with Highest Number of Trees -- 2.1.7 In-Depth Analysis of Tree Condition and Ownership Type -- 2.1.8 Box Plot of Tree Girth and Canopy by Tree Condition and Rarity -- 2.1.9 Count Plot of Trees by Their Yield Type -- 2.1.10 Counts of Top 10 Most Commonly Occurring Trees in Pune Which Yield Timber Wood -- 2.1.11 Counts of Balanced and Unbalanced Trees -- 2.1.12 Count of Trees with Respect to the Reported Signs of Stress/Damage on the Tree -- 2.1.13 Count Plot of Trees by the Rarity of Their Occurrence -- 2.1.14 Count Plot of Trees by Their Phenology Category -- 2.1.15 Flowering Season of the Trees -- 2.1.16 Pair Plot of All the Numerical Variables.
In: Annual statistical report of the National Center for Computer Crime Data 1
In: Data and Knowledge in a Changing World
This volume contains selected up-to-date professional papers prepared by specialists from various disciplines related to geosciences and water resources. It brings together contributions, both theoretical and applied, with special attention to Water in Ecosystems, Global Atmospheric Evolution, Space and Earth Remote Sensing, Regional Environmental Changes, Accessing Geoenvironmental Data and Ecotoxicological Issues
In: Historical social research: HSR-Retrospective (HSR-Retro) = Historische Sozialforschung, Band 38, Heft 4, S. 332-358
ISSN: 2366-6846
"Two developments in computational text analysis may change the way qualitative data analysis in social sciences is performed: 1. the availability of digital text worth to investigate is growing rapidly, and 2. the improvement of algorithmic information extraction approaches, also called text mining, allows for further bridging the gap between qualitative and quantitative text analysis. The key factor hereby is the inclusion of context into computational linguistic models which extends conventional computational content analysis towards the extraction of meaning. To clarify methodological differences of various computer-assisted text analysis approaches the article suggests a typology from the perspective of a qualitative researcher. This typology shows compatibilities between manual qualitative data analysis methods and computational, rather quantitative approaches for large scale mixed method text analysis designs." (author's abstract)
In: Institute of mathematical statistics monographs 5
In: Institute of Mathematical Statistics monographs 6
In: Springer eBook Collection
Historical Overview -- Office Information Systems Engineering -- Update Languages vs. Query Languages -- OPUS: An Extensible Optimizer for Up-to-Date Database Systems -- A Hyperlcon Interface to a Blackboard System for Planning Research Projects -- Chusaurus: A Writing Tool Resource for Non-Native Users of English -- Trends in Representing the Semantics of Natural Language Sentences: A Comparative Study -- Extending Partial Evaluation in Logic Programming -- Modules, Macros and Lisp -- Using Filters to Improve the Efficiency of Game-Playing Learning Procedures -- An O(n2.5) Time Heuristic Algorithm for a Class of Large Weighted Edge Colouring Problem -- Randomized Sorting of Shuffled Monotone Sequences -- A Classification of Quadratic Algorithms for Multiplying Polynomials of Small Degree Over Finite Fields -- An Algorithm for Computing Multivariate Polynomial Resultants -- New Absorbing and Ergodic Doubly-Linked List Reorganizing Heuristics -- Skip Sort-An Adaptive Randomized Algorithm or Expected Time Adaptivity is Best -- Data Structures and Access Methods for Read-Only Optical Disks -- Mixed-Radix Huffman Codes -- A Schema Manipulation Mechanism for an OODB Model -- Versions in the Context of Object-Oriented Database Systems -- Ddraw: An Object-Oriented Design Tool -- A Graphical Interactive Object-Oriented Development System -- A Concurrent Object-Oriented Paradigm for Attribute Grammars -- Preserving Distributed Data Coherence Using Asynchronous Broadcasts -- An Implementation of Service Rebalancing -- Bit Optimal Distributed Consensus -- An Efficient Distributed Termination -- Allocating Modules to Processors in a Distributed System with Limited Memory -- The Complexity of Algorithmic Problems on Succint Instances (Invited paper -- Parallel Algorithms for NP-Complete Problems (Invited paper -- Parallel Search in Sorted Multisets, and NP-Complete Problems -- Towards Understanding the Effective Parallelization of Sequential Algorithms -- On the Density of the Probabilistic Polynomial Classes -- Modelling and Simulation of a Pseudosystolic Processor for Matrix Algorithms -- The Caracas Multiprocessor System -- A New Communication Systems Architecture Supporting Migration to OSI -- Modelling and Analysis of Time Critical Applications on Local Area Networks -- Matrix Multiplication on Digital Signal Processors and Hierarchical Memory Systems -- Author Index.
In: Behavioral science, Band 14, Heft 6, S. 501-507
With the rapid development of computer science and the expanding use of computers in all facets of American life, there has been made available a wide range of instructional and informational films on automation, data processing, and computer science. Here is the first annotated bibliography of these and related films, gathered from industrial, institutional, and other sources.This bibliography annotates 244 films, alphabetically arranged by title, with a detailed subject index. Information is also provided concerning the intended audience, rental-purchase data, ordering procedures, and such s
In: Forum qualitative Sozialforschung: FQS = Forum: qualitative social research, Band 14, Heft 2
ISSN: 1438-5627
"Zwei jüngere Entwicklungen in der computergestützten Textanalyse bieten großes Veränderungspotenzial für die sozialwissenschaftliche Analyse qualitativer Daten: Erstens nimmt die Verfügbarkeit von digitalem Textmaterial rasant zu, und zweitens tragen Verbesserungen in den Verfahren algorithmischer Informationsextraktion, auch Text Mining genannt, dazu bei, die Spaltung zwischen qualitativen und quantitativen Textanalysen zu überwinden. Der entscheidende Fortschritt im Gegensatz zur computergestützten quantitativen Inhaltsanalyse besteht darin, dass neuere computerlinguistische Modelle Kontextinformationen in ihre Analysen einbeziehen. Ihre Kapazitäten erweitern sich so von der Auszählung von Begriffshäufigkeiten hin zur Extraktion von Bedeutung. Der Artikel stellt verschiedene Ansätze computergestützter Textanalysen vor und führt eine Typologie aus der Sicht qualitativer Sozialforschung ein, um methodologische Unterschiede zu verdeutlichen. Diese Typologie zeigt: Je besser die algorithmischen Verfahren in der Lage sind, komplexere semantische Strukturen über die Ebene einzelner Worte hinaus zu identifizieren, umso produktiver können sie mit manuellen Ansätzen qualitativer Datenanalyse in einem Mixed-Method-Forschungsdesign zur Analyse sehr großer Textmengen integriert werden." (Autorenreferat)