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. Genetic algorithm based pre-processing strategy for high dimensional micro-array gene classification: application of nature …. Nature inspired feature selector for effective data classification in big data frameworks -- Section 2. Nature …-inspired approaches for complex optimizations. Chapter 5. Motion planning of non-holonomic wheeled robots using modified bat algorithm …
Persistent link: https://www.econbiz.de/10012393259
object databases -- Chapter 4. Privacy and security in data-driven urban mobility -- Chapter 5. C-idea: a fast algorithm for …
Persistent link: https://www.econbiz.de/10012393209
. Case study: efficient faculty recruitment using genetic algorithm …
Persistent link: https://www.econbiz.de/10012393274
The Internet is already more widely deployed than any other computing system in history and continues to grow rapidly. New technologies, including high speed wide area network and improved software support for distribution, promise to make the Internet much more useful for general purpose...
Persistent link: https://www.econbiz.de/10011726694
. Classification on top of data cube / Lixin Fu -- X. Data cleansing and validation for multiple site link structure analysis / Mike …
Persistent link: https://www.econbiz.de/10011726695
This book presents fundamental and theoretical issues pertaining to data management. Covering a broad range of topics on warehousing and mining sensor networks, this advanced title provides significant industry solutions to those in database, data warehousing, and data mining research communities.
Persistent link: https://www.econbiz.de/10011726728
for fuzzy classification and analysis of gene expression data / Mohammad Khabbaz, Keivan Kianmehr, Mohammad Alshalalfa … Lei, Wei Renying, Huo Wang -- 17. Bagging probit models for unbalanced classification / Hualin Wang, Xiaogang Su -- 18 …. Classification of imbalanced data with random sets and mean-variance filtering / Nikulin Vladimir -- 23. Ranking potential customers …
Persistent link: https://www.econbiz.de/10011726730
The studies in this book use non-traditional, exploratory data analysis and data mining tools to examine health outcomes, finding patterns and trends in observational data. This book is ideal for the next generation of data mining practitioners--Provided by publisher.
Persistent link: https://www.econbiz.de/10011726766
evolutionary learning algorithm / Cheng-Jian Lin, Cheng-Hung Chen -- … for classification problems with high safety requirements / Sebastian Nusser, Clemens Otte, Werner Hauptmann, Rudolf Kruse …
Persistent link: https://www.econbiz.de/10011726787
The need for both organizations and government agencies to generate, collect, and utilize data in public and private sector activities is rapidly increasing, placing importance on the growth of data mining applications and tools. This book explores the manifestation of data mining and how it can...
Persistent link: https://www.econbiz.de/10011726823