This book provides a comprehensive introduction and practical look at the concepts and techniques readers need to get the most out of their data in real-world, large-scale data mining projects. It also guides readers ...
ISBN:
(数字)9783319512815
ISBN:
(纸本)9783319512792;9783319512815
This book provides a comprehensive introduction and practical look at the concepts and techniques readers need to get the most out of their data in real-world, large-scale data mining projects. It also guides readers through the data-analytic thinking necessary for extracting useful knowledge and business value from the data. The book is based on the softcomputing and Data Mining (SCDM-16) conference, which was held in Bandung, Indonesia on August 18th20th 2016 to discuss the state of the art in softcomputing techniques, and offer participants sufficient knowledge to tackle a wide range of complex systems. The scope of the conference is reflected in the book, which presents a balance of softcomputing techniques and data mining approaches. The two constituents are introduced to the reader systematically and brought together using different combinations of applications and practices. It offers engineers, data analysts, practitioners, scientists and managers the insights into the concepts, tools and techniques employed, and as such enables them to better understand the design choice and options of softcomputing techniques and data mining approaches that are necessary to thrive in this data-driven ecosystem.
The rapid growth in the volume of electronic medical records (EMRs) being collected, stored, and transmitted across networks can be attributed to recentadvances in medical informatics and health information technolog...
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Cervical cancer is the fourth most common cancer among women caused by mostly Human papillomavirus (HPV) infection. Considering its high incidence and mortality rate especially developing and least developed countries...
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Sensor network deployment directly influence the management of network resources and distribution of sensor network data. this paper will introduce the recent condition and relevant algorithms of the study on sensor n...
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ISBN:
(纸本)9783642279652
Sensor network deployment directly influence the management of network resources and distribution of sensor network data. this paper will introduce the recent condition and relevant algorithms of the study on sensor network deployment, the international situation and the future trend of development. etc.
In this paper, a review of softcomputing techniques in biometrics is presented. Biometrics has become one of the most promising authentication techniques in the last few years but issues like False Acceptance Rate, F...
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ISBN:
(纸本)9781467382533
In this paper, a review of softcomputing techniques in biometrics is presented. Biometrics has become one of the most promising authentication techniques in the last few years but issues like False Acceptance Rate, False Rejection Rate still prevails in biometrics. An efficient biometric system has higher recognition rate, tolerance for imprecision, uncertainty and noisy data. recently, softcomputing has gained wide popularity in biometric recognition where it has helped in improving the recognition rate to a great extent. Various softcomputing techniques like fuzzy logic, evolutionary algorithm and artificial neural network has increasingly being used for the construction of efficient biometric systems. This paper first presents the introduction to biometrics along with the issues involved in it. A brief description of various softcomputing techniques for feature extraction, fusion, feature optimization, improvement of recognition rate in biometrics is provided. Finally future research areas are presented.
In card manufacturing industry, it is very important to certify the characters printed on the cards. In this paper, we introduce a high-speed character recognition and verification system based on multi-neural network...
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ISBN:
(纸本)9783642279652
In card manufacturing industry, it is very important to certify the characters printed on the cards. In this paper, we introduce a high-speed character recognition and verification system based on multi-neural network for verifying characters on plastic cards. The result based on real products shows the good performance of the system.
The classical methods of system identification and their shortcomings are discussed. The advances made using tools from artificial intelligence are presented. The directions for future work utilizing the advances made...
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The classical methods of system identification and their shortcomings are discussed. The advances made using tools from artificial intelligence are presented. The directions for future work utilizing the advances made in softcomputing are studied.
In China, the study on the application of the labor capital theories in recent years mainly focused on the following four aspects: I. the perpetuation and expansion of the western labor capital theories;2. the study c...
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ISBN:
(纸本)9783642279652
In China, the study on the application of the labor capital theories in recent years mainly focused on the following four aspects: I. the perpetuation and expansion of the western labor capital theories;2. the study closely related to the labor capital management of business;3. the study on labor capital theories of rural areas;4. the study on labor capital investment. The further application of the labor capital theories enriches its content and makes it possess certain values of academic research.
Whey proteins are considered as multi functional foods with several health benefits. Interest in utilizing whey proteins has increased substantially in recent years that are used as potential ingredients in several fo...
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ISBN:
(纸本)9788132204909
Whey proteins are considered as multi functional foods with several health benefits. Interest in utilizing whey proteins has increased substantially in recent years that are used as potential ingredients in several foods in the prevention of oxidation in fat-containing foodstuffs, cosmetics and pharmaceuticals. In this paper, predictive models based on softcomputing paradigms including connectionist and neuro-fuzzy approaches as well as the conventional multiple regression technique are proposed to predict antioxidant capacity of whey protein hydrolysates. The performance of these models is compared with each other to assess their prediction potential. The results of this study revealed that the softcomputing approach seemed to perform better than the conventional multiple regression technique. Also, among the two softcomputing techniques used, the hybrid approach, i.e., neuro-fuzzy model performed the best.
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