Agile Data Science 2.0

Data science teams looking to turn research into useful analytics applications require not only the right tools, but also the right approach if they’re to succeed. With the revised second edition of this hands-on guide, up-and-coming data scientists will learn how to use the Agile Data Science development methodology to build data applications with Python, Apache Spark, Kafka, and other tools.

Author Russell Jurney demonstrates how to compose a data platform for building, deploying, and refining analytics applications with Apache Kafka, MongoDB, ElasticSearch, d3.js, scikit-learn, and Apache Airflow. You’ll learn an iterative approach that lets you quickly change the kind of analysis you’re doing, depending on what the data is telling you. Publish data science work as a web application, and affect meaningful change in your organization.

  • Build value from your data in a series of agile sprints, using the data-value pyramid
  • Extract features for statistical models from a single dataset
  • Visualize data with charts, and expose different aspects through interactive reports
  • Use historical data to predict the future via classification and regression
  • Translate predictions into actions
  • Get feedback from users after each sprint to keep your project on track

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Fundamentals of Computation Theory

Editorial Reviews

Fundamentals of Computation Theory: 21st International Symposium, FCT 2017, Bordeaux, France, September 11–13, 2017, Proceedings (Lecture Notes in Computer Science)

This book constitutes the refereed proceedings of the 21st International Symposium on Fundamentals of Computation Theory, FCT 2017, held in Bordeaux, France, in September 2017. The 29 revised full papers and 5 invited papers presented were carefully reviewed and selected from 99 submissions. The papers cover topics of all aspects of theoretical computer science, in particular algorithms, complexity, formal and logical methods.

Table of Contents

Chapter 1. Automata and Program Analysis
Chapter 2. What One Has to Know When Attacking P vs. NP (Extended Abstract)
Chapter 3. A Tour of Recent Results on Word Transducers
Chapter 4. Some Results of Zoltán Ésik on Regular Languages
Chapter 5. Contextuality in Multipartite Pseudo-Telepathy Graph Games
Chapter 6. Generalized Satisfiability Problems via Operator Assignments
Chapter 7. New Results on Routing via Matchings on Graphs
Chapter 8. Energy-Efficient Fast Delivery by Mobile Agents
Chapter 9. Parameterized Aspects of Triangle Enumeration
Chapter 10. Testing Polynomial Equivalence by Scaling Matrices
Chapter 11. Strong Duality in Horn Minimization
Chapter 12. Token Jumping in Minor-Closed Classes
Chapter 13. Expressive Power of Evolving Neural Networks Working on Infinite Input Streams
Chapter 14. Minimal Absent Words in a Sliding Window and Applications to On-Line Pattern Matching
Chapter 15. Subquadratic Non-adaptive Threshold Group Testing
Chapter 16. The Snow Team Problem
Chapter 17. FO Model Checking on Map Graphs
Chapter 18. Multiple Context-Free Tree Grammars and Multi-component Tree Adjoining Grammars
Chapter 19. On Circuits: The Role of Middle Fan-In, Homogeneity and Bottom Degree
Chapter 20. Decidable Weighted Expressions with Presburger Combinators
Chapter 21. The Complexity of Routing with Few Collisions
Chapter 22. Parikh Image of Pushdown Automata
Chapter 23. Tropical Combinatorial Nullstellensatz and Fewnomials Testing
Chapter 24. On Weak-Space Complexity over Complex Numbers
Chapter 25. Deterministic Oblivious Local Broadcast in the SINR Model
Chapter 26. Undecidability of the Lambek Calculus with Subexponential and Bracket Modalities
Chapter 27. Decision Problems for Subclasses of Rational Relations over Finite and Infinite Words
Chapter 28. Listing All Fixed-Length Simple Cycles in Sparse Graphs in Optimal Time
Chapter 29. Reliable Communication via Semilattice Properties of Partial Knowledge
Chapter 30. Polynomial-Time Algorithms for the Subset Feedback Vertex Set Problem on Interval Graphs and Permutation Graphs
Chapter 31. Determinism and Computational Power of Real Measurement-Based Quantum Computation
Chapter 32. Busy Beaver Scores and Alphabet Size
Chapter 33. Automatic Kolmogorov Complexity and Normality Revisited

Book Details

  • Pages: 432 pages
  • Edition: 1st ed. 2017
  • Publication Date: 2017-09-20
  • Publisher:
  • Language: English
  • ISBN-10: 3662557509
  • ISBN-13: 9783662557501

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Ontology-Based Data Access Leveraging Subjective Reports

Editorial Reviews

This SpringerBrief  reviews the knowledge engineering problem of engineering objectivity in top-k query answering; essentially, answers must be computed taking into account the user’s preferences and a collection of (subjective) reports provided by other users. Most assume each report can be seen as a set of scores for a list of features, its author’s preferences among the features, as well as other information is discussed in this brief. These pieces of information for every report are then combined, along with the querying user’s preferences and their trust in each report, to rank the query results. Everyday examples of this setup are the online reviews that can be found in sites like Amazon, Trip Advisor, and Yelp, among many others.

Throughout this knowledge engineering effort the authors adopt the Datalog+/– family of ontology languages as the underlying knowledge representation and reasoning formalism, and investigate several alternative ways in which rankings can b

e derived, along with algorithms for top-k (atomic) query answering under these rankings. This SpringerBrief also investigate assumptions under which our algorithms run in polynomial time in the data complexity.

Since this SpringerBrief contains a gentle introduction to the main building blocks (OBDA, Datalog+/-, and reasoning with preferences), it should be of value to students, researchers, and practitioners who are interested in the general problem of incorporating user preferences into related formalisms and tools.  Practitioners also  interested in using Ontology-based Data Access to leverage information contained in reviews of products and services for a better customer experience will be interested in this brief and  researchers working in the areas of Ontological Languages, Semantic Web, Data Provenance, and Reasoning with Preferences.

Table of Contents

Chapter 1 Ontology-Based Data Access With Datalog+/-
Chapter 2 Models For Representing User Preferences
Chapter 3 Subjective Data: Model And Query Answering
Chapter 4 Related Research Lines

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Logic and Language Models for Computer Science, 3rd Edition

Editorial Reviews

This text presents the formal concepts underlying Computer Science.

It starts with a wide introduction to Logic with an emphasis on reasoning and proof, with chapters on Program Verification and Prolog.

The treatment of computability with Automata and Formal Languages stands out in several ways:

  • it emphasizes the algorithmic nature of the proofs and the reliance on simulations;
  • it stresses the centrality of nondeterminism in generative models and the relationship to deterministic recognition models

The style is appropriate for both undergraduate and graduate classes.

Readership: Students and professionals interested in theoretical computation and language models for computer science.

Table of Contents

Chapter 1 Mathematical Preliminaries

Part I logic For Computer Science
Chapter 2 Propositional Logic
Chapter 3 Proofs By Deduction
Chapter 4 Predicate Logic
Chapter 5 Proving With Predicates
Chapter 6 Program Verification

Part II language Models For Computer Science
Chapter 7 Language And Models
Chapter 8 Generative Models Of Regular Languages
Chapter 9 Finite Automata And Regular Languages
Chapter 10 Context-Free Grammars
Chapter 11 Pushdown Automata And Parsing
Chapter 12 Turing Machines

Appendix A logic Programming
Appendix B the Awk Language
Appendix C answers To Selected Problems

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Testing Software and Systems

Editorial Reviews

Testing Software and Systems: 29th IFIP WG 6.1 International Conference, ICTSS 2017, St. Petersburg, Russia, October 9-11, 2017, Proceedings (Lecture Notes in Computer Science)

This book constitutes the refereed proceedings of the 29th IFIP WG 6.1 International Conference on Testing Software and Systems ICTSS 2017, held in St. Petersburg, Russia, in October 2017.

The 18 full papers and 4 short papers presented were carefully reviewed and selected from 41 submissions. The topics of the volume cover model based testing; test derivation and monitoring; fault localization and system testing including real time systems.

Table of Contents

Chapter 1. Fragility-Oriented Testing with Model Execution and Reinforcement Learning
Chapter 2. Fault-Based Testing for Refinement in CSP
Chapter 3. Effective Infinite-State Model Checking by Input Equivalence Class Partitioning
Chapter 4. Using Robustness Testing to Handle Incomplete Verification Results When Combining Verification and Testing Techniques
Chapter 5. AI for Localizing Faults in Spreadsheets
Chapter 6. n-Complete Test Suites for IOCO
Chapter 7. Multiple Mutation Testing from Finite State Machines with Symbolic Inputs
Chapter 8. From Passive to Active FSM Inference via Checking Sequence Construction
Chapter 9. Safety-Complete Test Suites
Chapter 10. Testing TLS Using Combinatorial Methods and Execution Framework
Chapter 11. Using Data Integration for Security Testing
Chapter 12. A “Strength of Decision Tree Equivalence”-Taxonomy and Its Impact on Test Suite Reduction
Chapter 13. Quality Estimation of Virtual Machine Placement in Cloud Infrastructures
Chapter 14. Homing Sequence Derivation with Quantified Boolean Satisfiability
Chapter 15. Synchronizing Heuristics: Speeding up the Slowest
Chapter 16. GREP: Games for the Runtime Enforcement of Properties
Chapter 17. Constraint-Based Oracles for Timed Distributed Systems
Chapter 18. Checking Response-Time Properties of Web-Service Applications Under Stochastic User Profiles
Chapter 19. Ongoing Work on Automated Verification of Noisy Nonlinear Systems with ARIADNE
Chapter 20. Generating Checking Sequences for User Defined Fault Models
Chapter 21. Adaptive Localizer Based on Splitting Trees
Chapter 22. Refining the Specification FSM When Deriving Test Suites w.r.t. the Reduction Relation

Book Details

  • Pages: 341 pages
  • Edition: 1st ed. 2017
  • Publication Date: 2017-10-20
  • Publisher:
  • Language: English
  • ISBN-10: 3319675486
  • ISBN-13: 9783319675480

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