Muutke küpsiste eelistusi

Data Mining [Pehme köide]

Edited by , Edited by , Edited by , Edited by
Teised raamatud teemal:
Teised raamatud teemal:
Data Mining is a compendium of articles and papers that were presented at DMIN '15, an international conference that serves researchers, scholars, professionals, students, and academicians.
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
3(7)
David Baglee
Salla Marttonen
Diego Galar
Financial Footnote Analysis: Developing a Text Mining Approach
10(7)
Maryam Heidari
Carsten Felden
Product's Quality Prediction with Respect to Equipments Data
17(7)
Mariam Melhem
Bouchra Ananou
Mohand Djeziri
Mustapha Ouladsine
Jacques Pinaton
eMaintenance Platform for Performing Data Fusion Mutation on Machine Tools
24(7)
Victor Simon
Diego Galar
David Baglee
Selecting a Classification Ensemble and Detecting Process Drift in an Evolving Data Stream
31(6)
Alejandro Heredia-Langner
Luke Rodriguez
Andy Lin
Jennifer Webster
Reliability Evaluation of Underground Power Cables with Probabilistic Models
37(7)
Hassan Mashad Nemati
Anita Sant'anna
Slawomir Nowaczyk
Use of Social Networks Sites (SNSs) as A Collaborative Learning Technique: Survey Analysis and Mining Approach
44(6)
Nevine Labib
Ahmed Sabry
Rasha Mostafa
Edward Morcos
Wavelet-Coupled Machine Learning Methods for Drought Forecast Utilizing Hybrid Meteorological and Remotely-Sensed Data
50(7)
Robin Tan
Marek Perkowski
A Hierarchical Clustering Approach to Analyze Similarities between Sea Surface Temperature Patterns in the Caribbean
57(5)
Marc Boumedine
Interactive Data Quality Assistance -- An Approach for Min(d)ing the Quality of Data
62(5)
Nadia El Bekri
Elisabeth Peinsipp-Byma
SESSION: SEGMENTATION, CLUSTERING, ASSOCIATION + WEB / TEXT / MULTIMEDIA MINING + SOFTWARE
AHC based Word Clustering considering Feature Similarity
67(4)
Taeho Jo
Extraction of Relevant Entities in Textual Documents. Modeling Intelligence Maps
71(7)
Isnard Martins
Edgard Martins
Graph-based Link Prediction in Cross-session Task Identification
78(7)
Chao Xu
Mingzhu Zhu
Wei Xiong
Yi-Fang Wu
Learning Temporal Regression Models and Voronoi Tessellation for Job Offers Recommendation
85(7)
Sidahmed Benabderrahmane
Nedra Mellouli
Myriam Lamolle
Jean-Baptiste Gabriel
Using Text Mining of Amazon Reviews to Explore User-defined Product Highlights and Issues
92(7)
Lleyana Jack
Yi-Fang Tsai
How Can We Measure the Similarity Between Resumes of Selected Candidates for a Job?
99(8)
Luis Adrian Cabrera-Diego
Barthelemy Durette
Matthieu Lafon
Juan-Manuel Torres-Moreno
Marc El-Beze
A Language-Based and Process-Oriented Approach for Supporting the Knowledge Discovery Processes
107(9)
Hesham Mansour
Daniel Duchamp
Carl-Arndt Krapp
Exploiting Temporal Patterns of Hot Events in Weibo
116(9)
Jiakun Huang
Kai Niu
Zhiqiang He
SESSION: REGRESSION AND CLASSIFICATION
Efficient Classifier over Stream Sliding Window using Associative Classification
125(7)
Prasanna Lakshmi Kompalli
Ramesh Kumar Reddy Cherku
Identifying Causes of Neonatal Mortality from Observational Data: A Bayesian Network Approach
132(7)
Kevin Wilson
Dennis Wallace
Shivaprasad Goudar
Douglas Theriaque
Elizabeth McClure
Learning Decision Trees from Histogram Data
139(7)
Ram Gurung
Tony Lindgren
Henrik Bostrom
Comparison Between Random Forest Algorithm and J48 Decision Trees Applied to the Classification of Power Quality Disturbances
146(2)
Fabbio Borges
Ricardo Fernandes
Lucas Moraes
Ivan Silva
Modelling Ground-Level Ozone Concentration using Ensemble Learning Algorithms
148(7)
Eman Al Abri
Eran Edirisinghe
Amin Nawadha
Automatic Detection Of Small Groups Of Persons, Influential Members, Relations And Hierarchy In Written Conversations Using Fuzzy Logic
155(7)
French Pope
Rouzbeh Shirvani
Mugizi Rwebangira
Mohamed Chouikha
Ayo Taylor
Andres Ramirez
Amirsina Torfi
A Machine Learning Approach for Business Intelligence Analysis using Commercial Shipping Transaction Data
162(9)
Lisa Bramer
Samrat Chatterjee
Aimee Holmes
Sean Robinson
Steven Bradley
Bobbie-Jo Webb-Robertson
SESSION: DATA MINING: LATE BREAKING PAPERS
Supervised Machine Learning Approach for Gender Disambiguation from Unstructured (Text) Documents
171(7)
Amit Choudhary
Praveen Kumar
Sridhar Jeyaraman
Scalable Mining of Frequent and Significant Sequential Patterns
178(7)
Zsolt T Kardkovacs
Gabor Kovacs
Raise Regression: Selection of the Raise Parameter
185
Catalina Garcia
Jose Garcia
Roman Salmeron
Maria Del Mar Lopez
Hamid R. Arabnia is Professor, Computer Science; Editor-in-Chief, The Journal of Supercomputing (Springer); Elected Fellow, Int'l Society of Intelligent Biological Medicine (ISIBM); The University of Georgia, Department of Computer Science.