Machine Learning and Data Mining

5 Open Access Books

222 Authors and Editors

113 Web of Science Citations

170 Dimensions Citations

Most cited chapters in this category

Chapter titleDownloads
1. Data Integration in Bioinformatics: Current Efforts and Challenges

By Zhang Zhang, Vladimir B. Bajic, Jun Yu, Kei-Hoi Cheung and Jeffrey P. Townsend

Part of book: Bioinformatics - Trends and Methodologies

3860
2. Learning the Number of Clusters in Self Organizing Map

By Guenael Cabanes and Younes Bennani

Part of book: Self-Organizing Maps

5324
3. Concepts, Historical Milestones and the Central Place of Bioinformatics in Modern Biology: A European Perspective

By T.K. Attwood, A. Gisel, N-E. Eriksson and E. Bongcam-Rudloff

Part of book: Bioinformatics - Trends and Methodologies

3195

Most downloaded chapters in this category in last 30 days

Chapter title
1. Embedded Systems Based on Open Source Platforms

By Zlatko Bundalo and Dusanka Bundalo

Part of book: Introduction to Data Science and Machine Learning

2. Estimating Customer Lifetime Value Using Machine Learning Techniques

By Sien Chen

Part of book: Data Mining

3. Robust Spectral Clustering via Sparse Representation

By Xiaodong Feng

Part of book: Recent Applications in Data Clustering

4. Data Privacy for Big Data Publishing Using Newly Enhanced PASS Data Mining Mechanism

By Priyank Jain, Manasi Gyanchandani and Nilay Khare

Part of book: Data Mining

5. Segmenting Images Using Hybridization of K-Means and Fuzzy C-Means Algorithms

By Raja Kishor Duggirala

Part of book: Introduction to Data Science and Machine Learning

6. Using Self Organizing Maps for 3D surface and volume adaptive mesh generation

By Olga Nechaeva

Part of book: Self-Organizing Maps

7. A Class of Parametric Tree-Based Clustering Methods

By Fred Glover and Yang Wang

Part of book: Recent Applications in Data Clustering

8. New Approaches in Multi-View Clustering

By Fanghua Ye, Zitai Chen, Hui Qian, Rui Li, Chuan Chen and Zibin Zheng

Part of book: Recent Applications in Data Clustering

9. Clustering Algorithms for Incomplete Datasets

By Loai AbdAllah and Ilan Shimshoni

Part of book: Recent Applications in Data Clustering

10. The K-Means Algorithm Evolution

By Joaquín Pérez-Ortega, Nelva Nely Almanza-Ortega, Andrea Vega-Villalobos, Rodolfo Pazos-Rangel, Crispín Zavala-Díaz and Alicia Martínez-Rebollar

Part of book: Introduction to Data Science and Machine Learning