Advanced Data Mining Technologies in Bioinformatics

✍ Scribed by Hui-Huang Hsu

Publisher: Idea Group Pub
Year: 2006
Tongue: English
Leaves: 343
Edition: illustrated edition
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

The technologies in data mining have been successfully applied to bioinformatics research in the past few years, but more research in this field is necessary. While tremendous progress has been made over the years, many of the fundamental challenges in bioinformatics are still open. Data mining plays an essential role in understanding the emerging problems in genomics, proteomics, and systems biology. Advanced Data Mining Technologies in Bioinformatics covers important research topics of data mining on bioinformatics. Readers of this book will gain an understanding of the basics and problems of bioinformatics, as well as the applications of data mining technologies in tackling the problems and the essential research topics in the field. Advanced Data Mining Technologies in Bioinformatics is extremely useful for data mining researchers, molecular biologists, graduate students, and others interested in this topic.

✦ Subjects

Информатика и вычислительная техника;Искусственный интеллект;Интеллектуальный анализ данных;Научные статьи и сборники

📜 SIMILAR VOLUMES

Data Mining in Bioinformatics

📁 Data Mining in Bioinformatics

✍ Jason T. L. Wang, Mohammed J. Zaki, Hannu T. T. Toivonen, Dennis Shasha (auth.), 📂 Library 📅 2005 🏛 Springer-Verlag London 🌐 English

<p>8. 1. 1 Protein Subcellular Location The life sciences have entered the post-genome era where the focus of biologicalresearchhasshiftedfromgenomesequencestoproteinfunctionality. Withwhole-genomedraftsofmouseandhumaninhand,scientistsareputting more and more e?ort into obtaining information about t

Data Mining in Bioinformatics

📁 Data Mining in Bioinformatics

✍ Jason T. L. Wang, Mohammed J. Zaki, Hannu Toivonen, Dennis E. Shasha 📂 Library 📅 2004 🏛 Springer 🌐 English

Data mining in bioinformatics

📁 Data mining in bioinformatics

✍ Jason T. L. Wang, Mohammed J. Zaki, Hannu Toivonen, Dennis E. Shasha 📂 Library 📅 2005 🏛 Springer 🌐 English

The goal of this book is to help readers understand state-of-the-art techniques in biological data mining & data management & includes topics such as: * preprocessing tasks such as data cleaning & data integration as applied to biological data * classification & clustering techniques for microarrays

Data Mining and Knowledge Discovery Tech

📁 Data Mining and Knowledge Discovery Technologies (Advances in Data Warehousing and Mining)

✍ David Taniar 📂 Library 📅 2008 🌐 English

As information technology continues to advance in massive increments, the bank of information available from personal, financial, and business electronic transactions and all other electronic documentation and data storage is growing at an exponential rate. With this wealth of information comes the

Data Mining for Bioinformatics

📁 Data Mining for Bioinformatics

✍ Sumeet Dua, Pradeep Chowriappa 📂 Library 📅 2012 🏛 CRC Press 🌐 English

<P>Covering theory, algorithms, and methodologies, as well as data mining technologies, <STRONG>Data Mining for Bioinformatics</STRONG> provides a comprehensive discussion of data-intensive computations used in data mining with applications in bioinformatics. It supplies a broad, yet in-depth, overv

Advances in Bioinformatics and Big Data

📁 Advances in Bioinformatics and Big Data Analytics

✍ Sujata Dash, Hrudayanath Thatoi, Subhendu Kumar Pani, Seyedamin Pouriyeh 📂 Library 📅 2023 🏛 Nova Science Publishers 🌐 English

The book will play a vital role in improvising knowledge on the practical application of information science in the biological field to a great extent. All the researchers and practitioners will benefit from those working in Big Data, IoT, Computational Intelligence, biomedical, and bioinformatics.