Tabla de Contenidos: “…12 ADVANCES IN DATA MINING 328 -- 12.1 Graph Mining 329 -- 12.2 Temporal Data Mining 343 -- 12.3 Spatial Data Mining (SDM) 357 -- 12.4 Distributed Data Mining (DDM) 360 -- 12.5 Correlation Does Not Imply Causality 369 -- 12.6 Privacy, Security, and Legal Aspects of Data Mining 376 -- 12.7 Review Questions and Problems 381 -- 12.8 References for Further Study 382 -- 13 GENETIC ALGORITHMS 385 -- 13.1 Fundamentals of GAs 386 -- 13.2 Optimization Using GAs 388 -- 13.3 A Simple Illustration of a GA 394 -- 13.4 Schemata 399 -- 13.5 TSP 402 -- 13.6 Machine Learning Using GAs 404 -- 13.7 GAs for Clustering 409 -- 13.8 Review Questions and Problems 411 -- 13.9 References for Further Study 413 -- 14 FUZZY SETS AND FUZZY LOGIC 414 -- 14.1 Fuzzy Sets 415 -- 14.2 Fuzzy-Set Operations 420 -- 14.3 Extension Principle and Fuzzy Relations 425 -- 14.4 Fuzzy Logic and Fuzzy Inference Systems 429 -- 14.5 Multifactorial Evaluation 433 -- 14.6 Extracting Fuzzy Models from Data 436 -- 14.7 Data Mining and Fuzzy Sets 441 -- 14.8 Review Questions and Problems 443 -- 14.9 References for Further Study 445 -- 15 VISUALIZATION METHODS 447 -- 15.1 Perception and Visualization 448 -- 15.2 Scientifi c Visualization and -- Information Visualization 449 -- 15.3 Parallel Coordinates 455 -- 15.4 Radial Visualization 458 -- 15.5 Visualization Using Self-Organizing Maps (SOMs) 460 -- 15.6 Visualization Systems for Data Mining 462 -- 15.7 Review Questions and Problems 467 -- 15.8 References for Further Study 468 -- Appendix A 470 -- A.1 Data-Mining Journals 470 -- A.2 Data-Mining Conferences 473 -- A.3 Data-Mining Forums/Blogs 477 -- A.4 Data Sets 478 -- A.5 Comercially and Publicly Available Tools 480 -- A.6 Web Site Links 489 -- Appendix B: Data-Mining Applications 496 -- B.1 Data Mining for Financial Data Analysis 496 -- B.2 Data Mining for the Telecomunications Industry 499 -- B.3 Data Mining for the Retail Industry 501 -- B.4 Data Mining in Health Care and Biomedical Research 503 -- B.5 Data Mining in Science and Engineering 506.…”

Tabla de Contenidos: “…-- Project structure -- Running the Scala Play web app -- Summary -- Chapter 4: Population-Scale Clustering and Ethnicity Prediction -- Population scale clustering and geographic ethnicity -- Machine learning for genetic variants -- 1000 Genomes Projects dataset description -- Algorithms, tools, and techniques -- H2O and Sparkling water -- ADAM for large-scale genomics data processing -- Unsupervised machine learning -- Population genomics and clustering -- How does K-means work? …”

Tabla de Contenidos: “…Inspecting databases -- Inspecting tables -- Making sense of pg_stat_user_tables -- Digging into indexes -- Tracking the background worker -- Tracking, archiving, and streaming -- Checking SSL connections -- Inspecting transactions in real time -- Tracking vacuum progress -- Using pg_stat_statements -- Creating log files -- Configuring the postgresql.conf file -- Defining log destination and rotation -- Configuring syslog -- Logging slow queries -- Defining what and how to log -- Summary -- Q&amp -- A -- Chapter 6: Optimizing Queries for Good Performance -- Learning what the optimizer does -- Optimizations by example -- Evaluating join options -- Nested loops -- Hash joins -- Merge joins -- Applying transformations -- Inlining the view -- Flattening subselects -- Applying equality constraints -- Exhaustive searching -- Trying it all out -- Making the process fail -- Constant folding -- Understanding function inlining -- Join pruning -- Speedup set operations -- Understanding execution plans -- Approaching plans systematically -- Making EXPLAIN more verbose -- Spotting problems -- Spotting changes in runtime -- Inspecting estimates -- Inspecting buffer usage -- Fixing high buffer usage -- Understanding and fixing joins -- Getting joins right -- Processing outer joins -- Understanding the join_collapse_limit variable -- Enabling and disabling optimizer settings -- Understanding genetic query optimization -- Partitioning data -- Creating partitions -- Applying table constraints -- Modifying inherited structures -- Moving tables in and out of partitioned structures -- Cleaning up data -- Understanding PostgreSQL 11.0 partitioning -- Adjusting parameters for good query performance -- Speeding up sorting -- Speeding up administrative tasks -- Making use of parallel queries -- What is PostgreSQL able to do in parallel? …”

Tabla de Contenidos: “…Gathering runtime statistics -- Working with PostgreSQL system views -- Checking live traffic -- Inspecting databases -- Inspecting tables -- Making sense of pg_stat_user_tables -- Digging into indexes -- Tracking the background worker -- Tracking, archiving, and streaming -- Checking SSL connections -- Inspecting transactions in real time -- Tracking vacuum progress -- Using pg_stat_statements -- Creating log files -- Configuring postgresql.conf file -- Defining log destination and rotation -- Configuring syslog -- Logging slow queries -- Defining what and how to log -- Summary -- Chapter 6: Optimizing Queries for Good Performance -- Learning what the optimizer does -- Optimizations by example -- Evaluating join options -- Nested loops -- Hash joins -- Merge joins -- Applying transformations -- Inlining the view -- Flattening subselects -- Applying equality constraints -- Exhaustive searching -- Trying it all out -- Making the process fail -- Constant folding -- Understanding function inlining -- Join pruning -- Speedup set operations -- Understanding execution plans -- Approaching plans systematically -- Making EXPLAIN more verbose -- Spotting problems -- Spotting changes in runtime -- Inspecting estimates -- Inspecting buffer usage -- Fixing high buffer usage -- Understanding and fixing joins -- Getting joins right -- Processing outer joins -- Understanding the join_collapse_limit variable -- Enabling and disabling optimizer settings -- Understanding genetic query optimization -- Partitioning data -- Creating partitions -- Applying table constraints -- Modifying inherited structures -- Moving tables in and out of partitioned structures -- Cleaning up data -- Adjusting parameters for good query performance -- Speeding up sorting -- Speedup administrative tasks -- Summary -- Chapter 7: Writing Stored Procedures…”

Tabla de Contenidos: “…Displaying and creating JSON documents -- Turning JSON documents into rows -- Accessing a JSON document -- Summary -- Chapter 5: Log Files and System Statistics -- Gathering runtime statistics -- Working with PostgreSQL system views -- Creating log files -- Configuring the postgresql.conf file -- Summary -- Questions -- Chapter 6: Optimizing Queries for Good Performance -- Learning what the optimizer does -- A practical example - how the query optimizer handles a sample query -- Understanding execution plans -- Approaching plans systematically -- Spotting problems -- Understanding and fixing joins -- Getting joins right -- Processing outer joins -- Understanding the join_collapse_limit variable -- Enabling and disabling optimizer settings -- Understanding genetic query optimization -- Partitioning data -- Creating inherited tables -- Applying table constraints -- Modifying inherited structures -- Moving tables in and out of partitioned structures -- Cleaning up data -- Understanding PostgreSQL 15.x partitioning -- Handling partitioning strategies -- Using range partitioning -- Utilizing list partitioning -- Handling hash partitions -- Adjusting parameters for good query performance -- Speeding up sorting -- Speeding up administrative tasks -- Making use of parallel queries -- What is PostgreSQL able to do in parallel? …”

Tabla de Contenidos: “…Wissensproduktion und Staatlichkeit im Kapitalismus -- 2. Genese der Universität seit dem Zweiten Weltkrieg -- 3. …”

Tabla de Contenidos: “…A Preview of Cell Biology -- 1.1 The Cell Theory: A Brief History -- Advances in Microscopy Allowed Detailed Studies of Cells -- The Cell Theory Applies to All Organisms -- 1.2 The Emergence of Modern Cell Biology -- The Cytological Strand Deals with Cellular Structure -- The Biochemical Strand Concerns the Chemistry of Biological Structure and Function -- The Genetic Strand Focuses on Information Flow -- 1.3 How Do We Know What We Know? …”

Tabla de Contenidos: “…4.8 Use of the Wireshark Sniffer Tool -- 4.9 Promiscuous Detection Tool: PromqryUI -- 4.9.1 Ping Method -- 4.9.2 Internet Control Message Protocol (ICMP) Test -- 4.9.3 Forged MAC Address Test -- 4.9.4 WIFI Security Alert -- 4.10 Countermeasures for Sniffing -- 4.11 Conclusion -- 4.12 Future Enhancement -- Chapter 5 Unraveling the Impact of Social Engineering on Organizations -- 5.1 Introduction -- 5.2 Literature Review -- 5.3 Conceptual Framework -- 5.4 Types of Social Engineering Attacks -- 5.5 Effects of Social Engineering on Organisations -- 5.6 Prevention Techniques against Social Engineering for Organisations -- 5.7 Illustrative Scenarios for Social Engineering Attacks -- 5.8 Case Study of Social Engineering -- 5.9 Conclusion -- Chapter 6 Impacts of Social Engineering on E-Banking -- 6.1 Introduction -- 6.2 Literature Survey -- 6.3 Potential Social Engineering Risks in E-Banking -- 6.4 Ontology Model of Social Engineering Attacks on E-Banking -- 6.5 Digital Transaction Scams -- 6.6 How to Fight Against Social Engineering Attacks on E-Banking -- 6.7 Detection and Prevention Techniques -- 6.8 Conclusion -- Chapter 7 The Art of Deception: Unmasking the Tools and Psychological Principles Behind Social Engineering -- 7.1 Introduction -- 7.1.1 Information Gathering -- 7.1.2 Establishing the Relationship -- 7.1.3 Exploitation Phase -- 7.1.4 Execution Phase -- 7.2 Tools and Techniques -- 7.2.1 Phishing -- 7.2.2 Baiting -- 7.2.3 Pretexting -- 7.2.4 Quid Pro Quo -- 7.2.5 Scareware -- 7.2.6 Diversion Theft -- 7.2.7 Tailgating -- 7.3 Social Engineering Toolkit -- 7.3.1 Attacks -- 7.4 Psychological Principles of Social Engineering -- 7.4.1 The Reciprocity Principle -- 7.4.2 The Need and Greed Principle -- 7.4.3 The Authority Principle -- 7.4.4 The Flattery Principle -- 7.4.5 The Consistency Principle -- 7.4.6 The Herd Principle -- 7.5 Conclusion…”

Tabla de Contenidos: “…L'església romànica de Castellví de la Marca (Penedès) / per Albert Ferrer i Soler. Els antics pobladors de la serra de la Salut de Sabadell / per Lluís Mas i Gomis. …”

Tabla de Contenidos: “…-- Features of OpenStack Networking -- Switching -- Routing -- Load balancing -- Firewalling -- Virtual private networks -- Network functions virtualization -- OpenStack Networking resources -- Virtual network interfaces -- Virtual network switches -- Overlay networks -- Virtual Extensible Local Area Network (VXLAN) -- Generic Router Encapsulation (GRE) -- Generic Network Virtualization Encapsulation (GENEVE) -- Preparing the physical infrastructure -- Configuring the physical infrastructure -- Management network -- API network -- External network -- Guest network -- Physical server connections -- Single interface -- Multiple interfaces -- Bonding -- Separating services across nodes -- Using a single controller node -- Using a dedicated network node -- Summary -- Installing OpenStack -- System requirements -- Operating system requirements -- Initial network configuration -- Example networks -- Interface configuration -- Initial steps -- Permissions -- Configuring the OpenStack repository -- Upgrading the system -- Setting the hostnames -- Installing and configuring Network Time Protocol -- Rebooting the system -- Installing OpenStack -- Installing and configuring the MySQL database server -- Installing and configuring the messaging server -- Installing and configuring memcached -- Installing and configuring the identity service -- Configuring the database -- Installing Keystone -- Configuring tokens and drivers -- Bootstrap the Identity service -- Configuring the Apache HTTP server -- Setting environment variables -- Defining services and API endpoints in Keystone -- Defining users, projects, and roles in Keystone -- Installing and configuring the image service…”

Tabla de Contenidos: “…Intro -- Title Page -- Copyright Page -- Table of Contents -- Introduction -- About This Book -- Foolish Assumptions -- Icons Used in This Book -- Beyond the Book -- Where to Go from Here -- Part 1 Getting Started with Algorithms -- Chapter 1 Introducing Algorithms -- Describing Algorithms -- The right way to make toast: Defining algorithm uses -- Finding algorithms everywhere -- Using Computers to Solve Problems -- Getting the most out of modern CPUs and GPUs -- Working with special-purpose chips -- Networks: Sharing is more than caring -- Leveraging available data -- Distinguishing between Issues and Solutions -- Being correct and efficient -- Discovering there is no free lunch -- Adapting the strategy to the problem -- Describing algorithms in a lingua franca -- Facing problems that are like brick walls, only harder -- Structuring Data to Obtain a Solution -- Understanding a computer's point of view -- Arranging data makes the difference -- Chapter 2 Considering Algorithm Design -- Starting to Solve a Problem -- Modeling real-world problems -- Finding solutions and counterexamples -- Standing on the shoulders of giants -- Dividing and Conquering -- Avoiding brute-force solutions -- Keeping it simple, silly (KISS) -- Breaking down a problem is usually better -- Learning that Greed Can Be Good -- Applying greedy reasoning -- Reaching a good solution -- Computing Costs and Following Heuristics -- Representing the problem as a space -- Going random and being blessed by luck -- Using a heuristic and a cost function -- Evaluating Algorithms -- Simulating using abstract machines -- Getting even more abstract -- Working with functions -- Chapter 3 Working with Google Colab -- Defining Google Colab -- Understanding what Google Colab does -- Getting familiar with Google Colab features -- Working with Notebooks -- Creating a new notebook…”

Tabla de Contenidos: “…Nutzungsausgleichspflicht des redlichen unverklagten Inhabers eines Gutes -- a) Genese des Wertungswiderspruchs zwischen den 987 ff. …”

Tabla de Contenidos: “…Resilience -- Resilience as a genetic disposition -- Resilience of Critical Infrastructure -- 3.2.4. …”

Tabla de Contenidos: “…7.1 Introduction -- 7.2 Literature Review -- 7.2.1 Psychology -- 7.2.2 Chess and Academic and Non-Academic Skills -- 7.2.3 Insights -- 7.2.4 Impacts of Tangible Interfaces in Gaming -- 7.2.5 Related Work -- 7.2.6 Competitive Analysis -- 7.3 Methodology -- 7.4 Design Intervention -- 7.5 Proposed Solution: IoT Integrated Tangible Chessboard -- 7.5.1 Experimental Setup -- 7.5.2 Algorithm -- 7.6 User Testing and Validation -- 7.7 Conclusion -- References -- 8 Intelligent Systems and Robotics for Wastewater Management Across India: A Study and Analysis -- 8.1 Introduction -- 8.2 Relevant Work -- 8.3 Theoretical Framework -- 8.3.1 Intelligent Systems -- 8.3.2 Artificial Neural Network -- 8.3.3 Genetic Algorithm -- 8.3.4 Fuzzy Logic -- 8.3.5 Machine Learning -- 8.3.6 Deep Learning -- 8.3.7 Data Analytics -- 8.4 Proposed Methodology -- 8.5 Industrial Waste -- 8.6 Robot Design Using Intelligent Systems -- 8.7 Conclusion -- References -- Chapter 9 Text-Based Prediction and Classification Model of Stress, Anxiety and Depression Among Indians -- 9.1 Introduction -- 9.2 Relevant Work -- 9.3 Discussion and Results -- 9.4 Conclusion -- References -- Chapter 10 Industry 4.0: Security Challenges and Opportunities of the IIoT -- 10.1 Introduction -- 10.2 Industry 4.0 Landscape -- 10.3 Literature Survey -- 10.4 Security Requirements in IIoT -- 10.5 Measures for Implementing Cybersecurity -- 10.5.1 Category 1: Smart Factories and Supply Chains -- 10.5.2 Category 2: Stakeholders -- 10.5.3 Category 3: Internet -- 10.5.4 Fog and Edge Computing -- 10.6 Conclusion -- References -- Chapter 11 Role of Machine Learning and Deep Learning in Smart Sensors -- 11.1 Introduction -- 11.2 Smart Sensors and Their Technology -- 11.2.1 Smart Sensors and Their Functionalities -- 11.2.2 Micro-Electromechanical Systems -- 11.2.3 Wireless Sensor Networks -- 11.3 Artificial Intelligence…”

“…The objectives of this work were to analyze the main clinical aspects of the disease as well as analyze the profitability of the genetic study compared with the radiologic study, and perform an early genetic diagnosis in the descendants of patients who were affected by a mutation in the PKD2 gene, trying to establish a correlation between phenotype and genotype. …”
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“…They not only identified gene variants segregating with familial forms of PD but also genetic risk factors of sporadic PD via genome-wide association studies (GWAS). …”

“…Overall, these studies are making increasingly clear that, both in model organisms and in humans, complexity is not a function of the number of protein-coding genes, but results from the possibility of using combinations of genetic programs and controlling their spatial and temporal regulation during development, senescence and in disease by regulatory RNAs. …”

“…Overall, these studies are making increasingly clear that, both in model organisms and in humans, complexity is not a function of the number of protein-coding genes, but results from the possibility of using combinations of genetic programs and controlling their spatial and temporal regulation during development, senescence and in disease by regulatory RNAs. …”

“…Most of the conducted studies in this Special Issue were focused on the identification and characterization of candidate genes for salt tolerance in higher plants. This identification would provide valuable information about the molecular and genetic mechanisms involved in the salt tolerance response, and it also supplies important resources to breeding programs for salt tolerance in plants…”

“…To manage this effectively, we need to map species distribution, understand life-history traits, define genetic variation within species and populations, identify lineages - especially at the molecular level - and correlate the historical, phylogenetic components with the spatial distributions of gene lineages. …”