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Soft Methods for Data Science PDF

This proceedings volume is a collection of peer-reviewed papers presented at the 8th International Conference on Soft Methods in Probability and Statistics (SMPS 2016) held in Rome (Italy).  In this blog post, you will be able to download free PDF e-book copy of Soft Methods for Data Science PDF.

The book is dedicated to Data science which aims at developing automated methods to analyze massive amounts of data and to extract knowledge from them. It shows how Data science employs various programming techniques and methods of data wrangling, data visualization, machine learning, probability, and statistics. The soft methods proposed in this volume represent a collection of tools in these fields that can also be useful for data science. In this blog post, you will be able to download free PDF e-book copy of Soft Methods for Data Science PDF.

Table of Contents

Below is the complete table of contents presented in Soft Methods for Data Science PDF:

  1. Mean Value and Variance of Fuzzy Numbers with Non-continuous
    Membership Functions
  2. On the Construction of Radially Symmetric Trivariate Copulas
  3. Simulation of the Night Shift Solid Waste Collection System of Phuket Municipality
  4. Updating Context in the Equation: An Experimental
  5. Argument with Eye Tracking
  6. Black-Litterman Model with Multiple Experts’ Linguistic Views
  7. Representing Lightweight Ontologies in a Product-Based
  8. Possibility Theory Framework
  9. Asymptotics of Predictive Distributions
  10. Independent k-Sample Equality Distribution Test
  11. Based on the Fuzzy Representation
  12. Agglomerative Fuzzy Clustering
  13. Bayesian Inference for a Finite Population Total
  14. Using Linked Data
  15. The Extension of Imprecise Probabilities Based on Generalized
  16. Credal Sets
  17. A Generalized SMART Fuzzy Disjunction of Volatility Indicators
  18. Applied to Option Pricing in a Binomial Model
  19. The Representation of Conglomerative Functionals
  20. The Likelihood Interpretation of Fuzzy Data
  21. Combining the Information of Multiple Ranker in Ranked Set
  22. Sampling with Fuzzy Set Approach
  23. A Savage-Like Representation Theorem for Preferences on Multi-acts
  24. On Some Functional Characterizations of (Fuzzy)
  25. Set-Valued Random Elements
  26. Maximum Likelihood Under Incomplete Information:
  27. Toward a Comparison of Criteria
  28. The Use of Uncertainty to Choose Matching Variables in Statistical Matching
  29. Beyond Fuzzy, Possibilistic and Rough: An Investigation of Belief Functions in Clustering
  30. Small Area Estimation in the Presence of Linkage Errors
  31. A Test for Truncation Invariant Dependence
  32. Finite Mixture of Linear Regression Models: An Adaptive Constrained Approach to Maximum Likelihood Estimation
  33. A Multivariate Analysis of Tourists’ Spending Behaviour
  34. Robust Fuzzy Clustering via Trimming and Constraints
  35. One-Factor Lévy-Frailty Copulas with Inhomogeneous
  36. Trigger Rates
  37. A Perceptron Classifier and Corresponding Probabilities
  38. Fuzzy Signals Fed to Gaussian Channels
  39. Fuzzy Clustering Through Robust Factor Analyzers
  40. Consensus-Based Clustering in Numerical Decision-Making
  41. Spatial Outlier Detection Using GAMs and Geographical
  42. Information Systems
  43. Centering and Compound Conditionals Under Coherence
  44. Approximate Bayesian Methods for Multivariate and Conditional Copulae
  45. The Sign Test for Interval-Valued Data
  46. Probability Distributions Related to Fuzzy P-Values
  47. Probabilistic Semantics and Pragmatics for the Language of Uncertainty
  48. Dynamic Analysis of the Development of Scientific Communities in the Field of Soft Computing
  49. Talk to Your Neighbour: A Belief Propagation Approach to Data Fusion
  50. The Qualitative Characteristics of Combining Evidence\ with Discounting
  51. Measuring the Dissimilarity Between the Distributions of Two Random Fuzzy Numbers
  52. An Empirical Analysis of the Coherence Between Fuzzy Rating
  53. Scale- and Likert Scale-Based Responses to Questionnaires
  54. Asymptotic Results for Sums of Independent Random Variables with Alternating Laws
  55. Dispersion Measures and Multidistances on Rk
  56. Full Conglomerability, Continuity and Marginal Extension
  57. On Extreme Points of p-Boxes and Belief Functions
  58. Modelling the Dependence in Multivariate Longitudinal Data by Pair Copula Decomposition
  59. Predictability in Probabilistic Discrete Event Systems
  60. A Sandwich Theorem for Natural Extensions
  61. Envelopes of Joint Probabilities with Given Marginals
  62. Under Absolute Continuity or Equivalence Constraints
  63. Square of Opposition Under Coherence
  64. Testing of Coarsening Mechanisms: Coarsening at Random
  65. Versus Subgroup Independence
  66. Two-Sample Similarity Test for the Expected Value of Random Intervals
  67. Handling Uncertainty in Structural Equation Modeling
  68. Detecting Inconsistencies in Revision Problems
  69. Tukey’s Biweight Loss Function for Fuzzy Set-Valued M-estimators of Location
  70. Technical Gestures Recognition by Set-Valued Hidden Markov
  71. Models with Prior Knowledge
  72. Time Series Modeling Based on Fuzzy Transform
  73. Back to “Reasoning”
  74. Lexicographic Choice Functions Without Archimedeanicity
  75. Composition Operator for Credal Sets Reconsidered\
  76. A Nonparametric Linearity Test for a Multiple Regression Model with Fuzzy Data
  77. Treat a Weak Dependence Among Causes and Lives in Insurance by Means of Fuzzy Sets
  78. A Portfolio Diversification Strategy via Tail Dependence Clustering
  79. An Upper Bound Estimation About the Sample Average of Interval-Valued Random Sets
  80. On Asymptotic Properties of the Multiple Fuzzy Least Squares Estim

Product Details

  • Book Name: Soft Methods for Data Science
  • Edition: 1st Edition
  • ISBN: 331942971X
  • Author Name: Maria Brigida Ferraro; Paolo Giordani;
  • Category: History Format
  • Pages : PDF – 552 Pages

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