“…By the end of this course, you’ll be able to optimize both your content and website for all the major search engines and drastically improve your website’s ranking…”

“…Creators of Thinkers50--the world's most respected ranking of business thinkers--Des Dearlove and Stuart Crainer bring you the very latest thinking on the future of business. …”

“…The first-ever global ranking of management thought leaders, Thinkers50 is the most prestigious and infl uential listing of its kind. …”

“…In addition, Amundsen runs PageRank using data from access logs to power search ranking, similar to how Google ranks web pages on the internet. …”

“…En 2018, España ya ocupa el segundo puesto del ranking mundial de países y esto tiene un impacto cada vez más visible en las economías urbanas y en las ciudades. …”

Tabla de Contenidos: “…Chapter 10 Discovering Graph Secrets -- Envisioning Social Networks as Graphs -- Clustering networks in groups -- Discovering communities -- Navigating a Graph -- Counting the degrees of separation -- Walking a graph randomly -- Chapter 11 Getting the Right Web page -- Finding the World in a Search Engine -- Searching the Internet for data -- Considering how to find the right data -- Explaining the PageRank Algorithm -- Understanding the reasoning behind the PageRank algorithm -- Explaining the nuts and bolts of PageRank -- Implementing PageRank -- Implementing a Python script -- Struggling with a naive implementation -- Introducing boredom and teleporting -- Looking inside the life of a search engine -- Considering other uses of PageRank -- Going Beyond the PageRank Paradigm -- Introducing semantic queries -- Using AI for ranking search results -- Part 4 Wrangling Big Data -- Chapter 12 Managing Big Data -- Transforming Power into Data -- Understanding Moore's implications -- Finding data everywhere -- Getting algorithms into business -- Streaming Flows of Data -- Analyzing streams with the right recipe -- Reserving the right data -- Sketching an Answer from Stream Data -- Filtering stream elements by heart -- Demonstrating the Bloom filter -- Finding the number of distinct elements -- Learning to count objects in a stream -- Chapter 13 Parallelizing Operations -- Managing Immense Amounts of Data -- Understanding the parallel paradigm -- Distributing files and operations -- Employing the MapReduce solution -- Working Out Algorithms for MapReduce -- Setting up a MapReduce simulation -- Inquiring by mapping -- Chapter 14 Compressing and Concealing Data -- Making Data Smaller -- Understanding encoding -- Considering the effects of compression -- Choosing a particular kind of compression -- Choosing your encoding wisely…”

Tabla de Contenidos: “…... x30)Harmonic Mean (HARMEAN); Syntax: HARMEAN(x1; x2; ... x30); Median (MEDIAN); Syntax: MEDIAN(x1; x2; ... x30); Counting Cells (COUNT); Syntax: COUNT(x1; x2; ... x30); Counting Cells (COUNTA); Syntax: COUNTA(x1; x2; ... x30); The Kth Largest Value (LARGE); Syntax: LARGE(x; k); The Kth Smallest Value (SMALL); Syntax: SMALL(x; k); Maximum (MAX); Syntax: MAX(x1; x2; ... x30); Minimum (MIN); Syntax: MIN(x1; x2; ... x30); Mode Function (MODE); Syntax: MODE(x1; x2; ... x30); Rank Function (RANK); Syntax: RANK(number; set; order); Chapter 8: Calculations with Money; Investment Calculations…”

Tabla de Contenidos: “…Comparing comparisons: On rankings and accounting in hospitals and universities / Sarah de Rijcke, Iris Wallenburg, Paul Wouters and Roland Bal -- 10. …”

Tabla de Contenidos: “…Main cost drivers for decommissioning -Types of costs -Categories of cost drivers -Ranking of key points 4. National cost estimation practices -Cost methodologies -Quality control provisions -Why cost estimates may be wrong 5. …”

Tabla de Contenidos: “…Chapter 8: PERFORMANCE MANAGEMENT IN MULTI-NATIONAL COMPANIESChapter 9: MANAGING CONTEXTUAL PERFORMANCE; Chapter 10: USING PERFORMANCE MANAGEMENT AS A LEARNING TOOL; Chapter 11: DIAGNOSING, UNDERSTANDING, AND DEALING WITH COUNTERPRODUCTIVE WORK BEHAVIOR; Chapter 12: FORCED RANKINGS: PROS, CONS, AND PRACTICES; Chapter 13: TECHNOLOGY AND PERFORMANCE MANAGEMENT; Chapter 14: AUTHENTIC PERFORMANCE; Chapter 15: ASSESSING PERFORMANCE MANAGEMENT PROGRAMS AND POLICIES; Chapter 16: PERFORMANCE MANAGEMENT OF THE FUTURE; Chapter 17: BEST PRACTICES IN PERFORMANCE MANAGEMENT; Name Index; Subject Index…”

Tabla de Contenidos: “…Green -- The United States and the liberal transformation of international society : the institution of sovereignty / Mikulas Fabry -- Wheaton's elements and the expansion of international society / Cornelia Navari -- America and the rise of arbitration as an institution of international society : American and British Treaties from 1783-1871 / Mary Durfee -- The United States as a great power : the long road to the nineteenth-century acceptance of rank / David Clinton -- Constituting the long 19th century : the United States and the primary institutions of international society / Barry Buzan and Richard Little…”

Tabla de Contenidos: “…Higher Brain Centers for Intelligent Motor Control in Insects -- Introduction -- Learning and Memory in the Central Complex for Approaching Objects -- Experimental Evidence -- The Central Complex Model -- Intelligent Motor Control beyond the Current Model -- An Integrator for the Orientation in Gradients -- Motor Learning -- A Representation of Body Size in the Brain -- Termination of Inappropriate Behavior -- Conclusion -- References -- An Insect-Inspired, Decentralized Memory for Robot Navigation -- Introduction -- The Model -- Results -- Discussion -- References -- Models of Visually Guided Routes in Ants: Embodiment Simplifies Route Acquisition -- Introduction -- Background -- Overview of Our Approach -- Detailed Methods -- Results -- Summary -- References -- Intelligent Visual Systems -- Robust Object Tracking for Resource-Limited Hardware Systems -- Introduction -- Overview of Tracking System -- Dominant Color-Spatial Based Object Representation -- Dominant Color Mode Extraction -- Spatial Layout of the Dominant Color -- Similarity Measure for Matching -- Cross Bin-Ratio Based Color Similarity Measure -- Spatial Similarity Measure -- Swarm Intelligence Based Searching Method -- Annealed Particle Swarm Optimization -- Integral Image of Model Parameters -- Experimental Results -- Different Object Representations -- Different Similarity Measure -- Different Searching Methods -- Conclusion -- References -- Adaptive Rank Transform for Stereo Matching -- Introduction -- Adaptive Rank Transform -- The Motivation Behind Adaptive Rank Transform -- Adaptive Rank Window -- New Transform Rules -- Comparison between Adaptive and Original Rank Transform -- Obtaining the Match Window from Multiple Rank Windows -- Experiments -- Conclusion -- References -- Real Time Vision Based Multi-person Tracking for Mobile Robotics and Intelligent Vehicles -- Introduction…”

Tabla de Contenidos: “…4.6.5 Evaluation -- 5 Results and Evaluation -- 5.1 Domain Relations and Domain Corpus -- 5.2 Evaluation of the Vector Space Model -- 5.2.1 Evaluation Baselines -- 5.2.2 Configuration Parameters -- 5.2.3 Average Ranking Precision -- 5.2.4 First Guess Correct -- 5.2.5 Second Guess Correct -- 5.3 Concept Grounding -- 5.4 Scarlet -- 5.5 Evaluation of Integrated Data Sources -- 5.5.1 Average Ranking Precision -- 5.5.2 First Guess Correct -- 5.5.3 Second Guess Correct -- 5.5.4 Individual Predicates -- 5.5.5 Summary and Interpretation -- 6 Conclusions and Outlook -- Bibliography…”

Tabla de Contenidos: “…Case A: all coefficient matrices are of full rank -- 4.3.2. Case B: coefficient matrices are rank deficient -- 4.4. …”

Tabla de Contenidos: “…Regular Papers -- Fully Automatic Text Categorization by Exploiting WordNet -- A Latent Dirichlet Framework for Relevance Modeling -- Assigning Location Information to Display Individuals on a Map for Web People Search Results -- Web Spam Identification with User Browsing Graph -- Metric and Relevance Mismatch in Retrieval Evaluation -- Test Collection-Based IR Evaluation Needs Extension toward Sessions – A Case of Extremely Short Queries -- Weighted Rank Correlation in Information Retrieval Evaluation -- Extractive Summarization Based on Event Term Temporal Relation Graph and Critical Chain -- Using an Information Quality Framework to Evaluate the Quality of Product Reviews -- Automatic Extraction for Product Feature Words from Comments on the Web -- Image Sense Classification in Text-Based Image Retrieval -- A Subword Normalized Cut Approach to Automatic Story Segmentation of Chinese Broadcast News -- Japanese Spontaneous Spoken Document Retrieval Using NMF-Based Topic Models -- Finding ‘Lucy in Disguise’: The Misheard Lyric Matching Problem -- Selecting Effective Terms for Query Formulation -- Discovering Volatile Events in Your Neighborhood: Local-Area Topic Extraction from Blog Entries -- A Unified Graph-Based Iterative Reinforcement Approach to Personalized Search -- Exploiting Sentence-Level Features for Near-Duplicate Document Detection -- Posters -- Language Models of Collaborative Filtering -- Efficient Text Classification Using Term Projection -- IPHITS: An Incremental Latent Topic Model for Link Structure -- Supervised Dual-PLSA for Personalized SMS Filtering -- Enabling Effective User Interactions in Content-Based Image Retrieval -- Improving Text Rankers by Term Locality Contexts -- Mutual Screening Graph Algorithm: A New Bootstrapping Algorithm for Lexical Acquisition -- Web Image Retrieval for Abstract Queries Using Text and Image Information -- Question Answering Based on Answer Trustworthiness -- Domain Specific Opinion Retrieval -- A Boosting Approach for Learning to Rank Using SVD with Partially Labeled Data -- Opinion Target Network and Bootstrapping Method for Chinese Opinion Target Extraction -- Automatic Search Engine Performance Evaluation with the Wisdom of Crowds -- A Clustering Framework Based on Adaptive Space Mapping and Rescaling -- Research on Lesk-C-Based WSD and Its Application in English-Chinese Bi-directional CLIR -- Searching Polyphonic Indonesian Folksongs Based on N-gram Indexing Technique -- Study on the Click Context of Web Search Users for Reliability Analysis -- Utilizing Social Relationships for Blog Popularity Mining -- S-node: A Small-World Navigation System for Exploratory Search -- Efficient Probabilistic Latent Semantic Analysis through Parallelization…”

Tabla de Contenidos: “…Contents note continued: Priority Features of Email -- Writing a Priority Inbox -- Functions for Extracting the Feature Set -- Creating a Weighting Scheme for Ranking -- Weighting from Email Thread Activity -- Training and Testing the Ranker -- 5. …”

“…Para cualquier jugador de ajedrez que quiera mejorar sus resultados en competiciones y con ello subir su ranking ELO. Resulta curioso el poco material que encontramos en español sobre psicología en ajedrez. …”

“…Chapter 2 discusses the applications of continuous time Markov chains to model queueing systems and discrete time Markov chain for computing the PageRank, the ranking of websites on the Internet. Chapter 3 studies Markovian models for manufacturing and re-manufacturing systems and presents closed form solutions and fast numerical algorithms for solving the captured systems. …”

“…In two thirds of all international comparisons of tax progression, the authors report a clear ranking of the respective countries in terms of progression dominance. …”

“…They can also be used for the selection and ranking of candidate chemicals during the development of new chemicals and products and in toxicology research. …”