| Description |
1 online resource : illustrations |
| Physical Medium |
polychrome |
| Description |
text file |
| Bibliography |
Includes bibliographical references and index. |
| Contents |
SESSION: REAL-WORLD DATA MINING APPLICATIONS, CHALLENGES, AND PERSPECTIVES: The Need for Big Data Collection and Analysis to Support the Development of an Advanced Maintenance Strategy -- Financial Footnote Analysis: Developing a Text Mining Approach -- Product's Quality Prediction with Respect to Equipments Data -- eMaintenance Platform for Performing Data Fusion Mutation on Machine Tools -- Selecting a Classification Ensemble and Detecting Process Drift in an Evolving Data Stream -- Reliability Evaluation of Underground Power Cables with Probabilistic Models -- Use of Social Networks Sites (SNSs) as A Collaborative Learning Technique: Survey Analysis and Mining Approach -- Wavelet-Coupled Machine Learning Methods for Drought Forecast Utilizing Hybrid Meteorological and Remotely-Sensed Data -- A Hierarchical Clustering Approach to Analyze Similarities between Sea Surface Temperature Patterns in the Caribbean -- Interactive Data Quality Assistance -- An Approach for Min(d)ing the Quality of Data. |
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SESSION: SEGMENTATION, CLUSTERING, ASSOCIATION + WEB / TEXT / MULTIMEDIA MINING + SOFTWARE: AHC based Word Clustering considering Feature Similarity -- Extraction of Relevant Entities in Textual Documents. Modeling Intelligence Maps -- Graph-based Link Prediction in Cross-session Task Identification -- Learning Temporal Regression Models and Voronoi Tessellation for Job Offers Recommendation -- Using Text Mining of Amazon Reviews to Explore User-defined Product Highlights and Issues -- How Can We Measure the Similarity Between Resumes of Selected Candidates for a Job? -- A Language-Based and Process-Oriented Approach for Supporting the Knowledge Discovery Processes -- Exploiting Temporal Patterns of Hot Events in Weibo. |
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SESSION: REGRESSION AND CLASSIFICATION: Efficient Classifier over Stream Sliding Window using Associative Classification -- Identifying Causes of Neonatal Mortality from Observational Data: A Bayesian Network Approach -- Learning Decision Trees from Histogram Data -- Comparison Between Random Forest Algorithm and J48 Decision Trees Applied to the Classification of Power Quality Disturbances -- Modelling Ground-Level Ozone Concentration using Ensemble Learning Algorithms -- Automatic Detection Of Small Groups Of Persons, Influential Members, Relations And Hierarchy In Written Conversations Using Fuzzy Logic -- A Machine Learning Approach for Business Intelligence Analysis using Commercial Shipping Transaction Data. |
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SESSION: DATA MINING: LATE BREAKING PAPERS: Supervised Machine Learning Approach for Gender Disambiguation from Unstructured (Text) Documents -- Scalable Mining of Frequent and Significant Sequential Patterns -- Raise Regression: Selection of the Raise Parameter. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Data mining -- Congresses.
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Data mining. |
| Genre/Form |
Electronic books.
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Conference papers and proceedings.
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Conference papers and proceedings.
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| Added Author |
Stahlbock, Robert, editor.
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Weiss, Gary M., editor.
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Abou-Nasr, Mahmoud, editor.
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Arabnia, Hamid, editor.
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| Added Title |
Proceedings of the 2015 International Conference on Data Mining |
| Cover Title |
Data mining : the 2015 WorldComp International Conference proceedings |
| Other Form: |
Print version: DMIN International Conference on Data Mining (11th : July 27-30, 2015 : Las Vegas, Nevada). DMIN 2015. [United States] : CSREA Press, ©2015 9781601322678 (OCoLC)942792749 |
| ISBN |
9781601323354 (electronic book) |
|
1601323352 (electronic book) |
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9781601324030 |
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