Search Results - Data mining

Data mining : current applications and future possibilities : hearing before the Subcommittee on Technology, Information Policy, Intergovernmental Relations and the Census of the Committee on Government Reform, House of Representatives, One Hundred Eighth Congress, first session, March 25, 2003 by United States. Congress. House. Committee on Government Reform. Subcommittee on Technology, Information Policy, Intergovernmental Relations, and the Census

Subjects: “…Data mining United States.…”
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Data mining : a knowledge discovery approach by SpringerLink (Online service)

Contents: “…Data Mining and Knowledge Discovery Process -- The Knowledge Discovery Process -- Data Understanding -- Data -- Concepts of Learning, Classification, and Regression -- Knowledge Representation -- Data Preprocessing -- Databases, Data Warehouses, and OLAP -- Feature Extraction and Selection Methods -- Discretization Methods -- Data Mining: Methods for Constructing Data Models -- Unsupervised Learning: Clustering -- Unsupervised Learning: Association Rules -- Supervised Learning: Statistical Methods -- Supervised Learning: Decision Trees, Rule Algorithms, and Their Hybrids -- Supervised Learning: Neural Networks -- Text Mining -- Data Models Assessment -- Assessment of Data Models -- Data Security and Privacy Issues -- Data Security, Privacy and Data Mining.…”
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Data mining : foundations and practice by SpringerLink (Online service)

Contents: “…Compact Representations of Sequential Classification Rules -- An Algorithm for Mining Weighted Dense Maximal 1-Complete Regions -- Mining Linguistic Trends from Time Series -- Latent Semantic Space for Web Clustering -- A Logical Framework for Template Creation and Information Extraction -- A Bipolar Interpretation of Fuzzy Decision Trees -- A Probability Theory Perspective on the Zadeh Fuzzy System -- Three Approaches to Missing Attribute Values: A Rough Set Perspective -- MLEM2 Rule Induction Algorithms: With and Without Merging Intervals -- Towards a Methodology for Data Mining Project Development: The Importance of Abstraction -- Fining Active Membership Functions in Fuzzy Data Mining -- A Compressed Vertical Binary Algorithm for Mining Frequent Patterns -- Naïve Rules Do Not Consider Underlying Causality -- Inexact Multiple-Grained Causal Complexes -- Does Relevance Matter to Data Mining Research? …”
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Data mining : theory, methodology, techniques, and applications by SpringerLink (Online service)

Subjects: “…Data mining.…”
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Data mining : special issue in Annals of information systems by SpringerLink (Online service)

Contents: “…Data mining and information systems -- Response-Based Segmentation Using Finite Mixture Partial Least Squares -- Building Acceptable Classification Models -- Mining Interesting Rules Without Support Requirement -- Classification Techniques and Error Control in Logic Mining -- An Extended Study of the Discriminant Random Forest -- Prediction with the SVM using test point margins -- Effects of Oversampling versus Cost-sensitive Learning for Bayesian and SVM Classifiers -- The Impact of Small Disjuncts on Classifier Learning -- Predicting Customer Loyalty Labels in a Large Retail Database -- PCA-based Time Series Similarity Search -- Evolutionary Optimization of Least-Squares Support Vector Machines -- Genetically Evolved kNN Ensembles -- Behaviorally Founded Recommendation Algorithm for Browsing -- Using Web Text Mining to Predict Future Events -- Avoiding Attribute Disclosure with the (Extended) p-Sensitive k-Anonymity Model -- Privacy Preserving Random Kernel Classification of Checkerboard Partitioned Data.…”
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Data mining : concepts, models and techniques by Gorunescu, Florin

Contents: “…Introduction to Data Mining --…”
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Data mining : concepts, methods and applications in management and engineering design by SpringerLink (Online service)

Contents: “…Decision Analysis and Cluster Analysis -- 2. Association Rules Mining in Inventory Data Base -- 3. Fuzzy Modeling and Optimization: Theory and Methods -- 4. …”
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Data mining. Volume 1, Clustering, association and classification : foundations and intelligent paradigms by SpringerLink (Online service)

Contents: “…Introductory Chapter -- Clustering Analysis in Large Graphs with Rich Attributes -- Temporal Data Mining: Similarity-Profiled Association Pattern -- Bayesian Networks with Imprecise Probabilities: Theory and Application to Classification -- Hierarchical Clustering for Finding Symmetries and Other Patterns in Massive, High Dimensional Datasets -- Randomized Algorithm of Finding the True Number of Clusters Based on Chebychev Polynomial Approximation -- Bregman Bubble Clustering: A Robust Framework for Mining Dense Clusters -- DepMiner: A method and a system for the extraction of significant dependencies -- Integration of Dataset Scans in Processing Sets of Frequent Itemset Queries -- Text Clustering with Named Entities: A Model, Experimentation and Realization -- Regional Association Rule Mining and Scoping from Spatial Data -- Learning from Imbalanced Data: Evaluation Matters.…”
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Data mining. Volume 2, Statistical, bayesian, time series and other theoretical aspects : foundations and intelligent paradigms by SpringerLink (Online service)

Contents: “…From the content: Data Mining with Multilayer Perceptrons and Support Vector Machines -- Regulatory Networks under Ellipsoidal Uncertainty -- Data Analysis and Prediction by Optimization Theory and Dynamical Systems -- A Visual Environment for Designing and Running Data Mining Workflows in the Knowledge Grid -- Formal framework for the Study of Algorithmic Properties of Objective Interestingness Measures -- Nonnegative Matrix Factorization: Models, Algorithms and Applications -- Visual Data Mining and Discovery with Binarized Vectors.…”
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Data mining. Volume 3, Medical, health, social, biological and other applications : foundations and intelligent paradigms by SpringerLink (Online service)

Contents: “…From the content: Advances in Data Mining Applications -- Temporal Pattern Mining for Medical Applications -- BioKeySpotter: an Unsupervised Keyphrase Extraction Technique in the Biomedical Full-text Collection -- Mining Health Claims data for assessing patient risk -- Mining biological networks for similar patterns -- Estimation of Distribution Algorithms in Gene Expression Data Analysis.…”
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Data Mining Big Data's Increasing Challenge and Payoff by Films for the Humanities & Sciences (Firm), Infobase

Contents: “…Interaction with Big Data (1:36) -- Data Mining: An Overview (3:24) -- Data (4:48) -- Uses of Data Mining (4:46) -- Process of Data Mining (4:35) -- Tips for Successful Data Mining (2:20) -- Data Mining: Ethical Concerns (2:25) -- Credits: Data Mining: Big Data's Increasing Challenge and Payoff (0:49)…”
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Data mining : the textbook by Aggarwal, Charu C.

Contents: “…Introduction to Data Mining -- Data Preparation -- Similarity and Distances -- Association Pattern Mining -- Association Pattern Mining: Advanced Concepts -- Cluster Analysis -- Cluster Analysis: Advanced Concepts -- Outlier Analysis -- Outlier Analysis: Advanced Concepts -- Data Classification -- Data Classification: Advanced Concepts -- Mining Data Streams -- Mining Text Data -- Mining Time-Series Data -- Mining Discrete Sequences -- Mining Spatial Data -- Mining Graph Data -- Mining Web Data -- Social Network Analysis -- Privacy-Preserving Data Mining.…”
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Data mining : practical machine learning tools and techniques 3rd ed. by Witten, I. H. (Ian H.), Frank, Eibe, Hall, Mark A. (Mark Andrew)

Subjects: “…Data mining.…”
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Data mining : concepts and techniques 3rd ed. by Han, Jiawei

Contents: “…Front Cover; Data Mining: Concepts and Techniques; Copyright; Dedication; Table of Contents; Foreword; Foreword to Second Edition; Preface; Acknowledgments; About the Authors; Chapter 1. …”
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Data mining : 15th Australasian Conference, AusDM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Revised selected papers by Australasian Conference on Data Mining Melbourne, Vic., SpringerLink (Online service)

Subjects: “…Data mining Congresses.…”
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Data mining : 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, Australia, November 28-30, 2018, Revised selected papers by Australasian Conference on Data Mining Bahrurst, N.S.W., SpringerLink (Online service)

Contents: “…Classification tasks -- Transport, Environment and Energy -- Applied Data Mining -- Privacy and Clustering -- Statistics in Data Science -- Health, Software and Smart Phone -- Image Data Mining -- Industry Showcase.…”
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Data mining : 17th Australasian Conference, AusDM 2019, Adelaide, SA, Australia, December 2-5, 2019, Proceedings by Australasian Conference on Data Mining Adelaide, S.A., SpringerLink (Online service)

Subjects: “…Data mining Congresses.…”
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Data mining : practical machine learning tools and techniques Fourth edition. by Witten, I. H. (Ian H.), Frank, Eibe, Hall, Mark A. (Mark Andrew), Pal, Christopher J.

Contents: “…Part I. Introduction to data mining. Chapter 1. What's it all about? -- Chapter 2. …”
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Data mining : 19th Australasian Conference on Data Mining, AusDM, Brisbane, QLD, Australia, December 14-15, 2021 : proceedings by Australasian Conference on Data Mining Online, SpringerLink (Online service)

Contents: “…Research Track -- Parallel Nonlinear Dimensionality Reduction Using GPU Acceleration -- Taking the Confusion out of Multinomial Confusion Matrices and Imbalanced Classes -- Sharpshooting Most Beneficial Part of AUC for Detecting Malicious Logs -- A Drift Aware Hierarchical Test based Approach for Combating Spammers in Online Social Networks -- Hospital Readmission Prediction Using Semantic Relations Between Medical Codes -- HFM++: An Enhanced Holographic Factorization Machine for Recommendation -- Deep Learning for Bias Detection: From Inception to Deployment -- Exploring Fusion Strategies in Deep Learning Models for Multi-modal Classification -- Application Track -- Chameleon: A Python Workflow Toolkit for Feature Selection -- PostMatch: A Framework for Efficient Address Matching -- Detection of Classical Cipher Types with Feature-Learning Approach -- SOMPS-Net: Attention based Social Graph Framework for Early Detection of Fake Health News -- How to Read the News: A Study of How Sentiment Effects Financial Markets -- Investigation of Topic Modelling Methods for Understanding the Reports of the Mining Projects in Queensland -- A Semi-Automatic Data Extraction System for Heterogeneous Data Sources: A Case Study from Cotton Industry -- Nonnegative Matrix Factorization to Understand Spatio-Temporal Traffic Pattern Variations during COVID-19: A Case Study.…”
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Data mining : 20th Australasian Conference, AusDM 2022, Western Sydney, Australia, December 12-15, 2022, proceedings by AusDM (Conference) Sydney, N.S.W.), SpringerLink (Online service)

Subjects: “…Data mining Congresses.…”
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