標題: Titlebook: Automating the Design of Data Mining Algorithms; An Evolutionary Comp Gisele L. Pappa,Alex Freitas Book 2010 Springer-Verlag Berlin Heidelb [打印本頁] 作者: Monroe 時間: 2025-3-21 19:52
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書目名稱Automating the Design of Data Mining Algorithms讀者反饋學(xué)科排名
作者: 人充滿活力 時間: 2025-3-21 22:28
Genetic Programming for Classification and Algorithm Design,, rather than classification algorithms. Although combinatorial optimization is not the focus of this book, this topic was included in this chapter because the research on automatically evolving combinatorial optimization algorithms seems to be in a more advanced stage than the research on automatic作者: 提煉 時間: 2025-3-22 01:21 作者: antecedence 時間: 2025-3-22 07:16
Calling Children Back to Schoolassification rules from data, and it is the type of algorithm whose design is automated by the genetic programming system proposed in this book. Rule induction algorithms and their components are therefore discussed in detail in this chapter. This chapter concludes with a discussion about meta-learn作者: BRAVE 時間: 2025-3-22 11:57
Suzanne Gartner PhD,Yiling Liu MD, rather than classification algorithms. Although combinatorial optimization is not the focus of this book, this topic was included in this chapter because the research on automatically evolving combinatorial optimization algorithms seems to be in a more advanced stage than the research on automatic作者: 受人支配 時間: 2025-3-22 14:10
https://doi.org/10.1007/978-3-658-41852-6y evolved algorithms differ from the manually-designed ones; (d) we investigate the system’s sensitivity to variations in the grammar; (e) we compare the effectiveness of genetic programming and hill-climbing search as different methods for searching in the space of candidate rule induction algorith作者: surmount 時間: 2025-3-22 20:48
Book 2010olutionary computation approach. More precisely, we propose a genetic p- gramming system (a type of evolutionary computation method that evolves c- puter programs) to automate the design of rule induction algorithms, a type of cl- si cation method that discovers a set of classi cation rules from dat作者: 國家明智 時間: 2025-3-22 21:46 作者: ascetic 時間: 2025-3-23 03:21
Diverse Education Within the Artsrning data mining, the focus is on rule induction algorithms, which have the advantage of discovering knowledge expressed in the form of . classification rules that can be easily interpreted by the user, such as: . (.=.) and (.=.) . (.=.). Concerning evolutionary computation, the focus is on genetic作者: semiskilled 時間: 2025-3-23 08:04 作者: 把手 時間: 2025-3-23 11:52
Richard Yanagihara,Se Hun Gu,Jin-Won Song the genetic programming system proposed in this book. This chapter starts with a review of evolutionary algorithms in general, focusing on genetic algorithms-like methods, involving individuals represented by fixed-length linear strings. It then discusses concepts related to multiobjective optimiza作者: Asparagus 時間: 2025-3-23 15:25
Suzanne Gartner PhD,Yiling Liu MDation task of data mining. In this first part, the chapter first explains important differences between classification models and classification algorithms - a crucial point to understand the contribution of this book, since the proposed genetic programming system produces a classification algorithm作者: Negotiate 時間: 2025-3-23 20:44 作者: 得意人 時間: 2025-3-23 23:09
https://doi.org/10.1007/978-3-658-41852-6erformed to evaluate the proposed genetic programming system. This chapter is divided into two parts. In the first part the experiments evaluate the system’s effectiveness in producing rule induction algorithms robust across different application domains. In this part of the chapter we report result作者: stratum-corneum 時間: 2025-3-24 05:40 作者: 輕打 時間: 2025-3-24 09:41 作者: oblique 時間: 2025-3-24 14:20 作者: 啤酒 時間: 2025-3-24 15:34 作者: 珍奇 時間: 2025-3-24 20:16
978-3-642-26125-1Springer-Verlag Berlin Heidelberg 2010作者: 強制令 時間: 2025-3-25 01:36 作者: flamboyant 時間: 2025-3-25 07:04
1619-7127 an just optimize its parameters..Includes supplementary mateData mining is a very active research area with many successful real-world app- cations. It consists of a set of concepts and methods used to extract interesting or useful knowledge (or patterns) from real-world datasets, providing valuable作者: 放氣 時間: 2025-3-25 10:48
Sofia D’souza,Prema K. V.,Seetharaman Balajill other components of the system related to the genetic programming algorithm itself - i.e., individual representation, population initialization, individual evaluation (based on a single-objective or multiobjective fitness function) and finally crossover and mutation operations.作者: IRATE 時間: 2025-3-25 15:32 作者: paltry 時間: 2025-3-25 19:29
Diverse Education Within the Arts automation in data mining, since rule induction algorithms are normally manually designed by human experts. Thirdly, this chapter presents an overview of the proposed genetic programming system for automating the design of rule induction algorithms.作者: Gnrh670 時間: 2025-3-25 21:40
Richard Yanagihara,Se Hun Gu,Jin-Won Songusing on a specific kind of genetic programming method called grammar-based genetic programming. As the name implies, this is a type of genetic programming method where the search for good programs is guided by a grammar, which incorporates background knowledge about the problem being solved.作者: Precursor 時間: 2025-3-26 00:17
https://doi.org/10.1007/978-3-658-41852-6atasets with similar properties), investigating other types of search methods for automated algorithm design, automatically designing other types of classification algorithms (different from rule induction ones) or even other types of data mining algorithms, like clustering algorithms.作者: lesion 時間: 2025-3-26 04:20
Introduction, automation in data mining, since rule induction algorithms are normally manually designed by human experts. Thirdly, this chapter presents an overview of the proposed genetic programming system for automating the design of rule induction algorithms.作者: Debark 時間: 2025-3-26 10:02
Evolutionary Algorithms,using on a specific kind of genetic programming method called grammar-based genetic programming. As the name implies, this is a type of genetic programming method where the search for good programs is guided by a grammar, which incorporates background knowledge about the problem being solved.作者: 細絲 時間: 2025-3-26 14:51 作者: scrutiny 時間: 2025-3-26 20:15
Automating the Design of Rule Induction Algorithms,ll other components of the system related to the genetic programming algorithm itself - i.e., individual representation, population initialization, individual evaluation (based on a single-objective or multiobjective fitness function) and finally crossover and mutation operations.作者: 外表讀作 時間: 2025-3-26 21:56
Introduction,rning data mining, the focus is on rule induction algorithms, which have the advantage of discovering knowledge expressed in the form of . classification rules that can be easily interpreted by the user, such as: . (.=.) and (.=.) . (.=.). Concerning evolutionary computation, the focus is on genetic作者: 殘酷的地方 時間: 2025-3-27 02:19 作者: ADJ 時間: 2025-3-27 05:38 作者: vasospasm 時間: 2025-3-27 13:06
Genetic Programming for Classification and Algorithm Design,ation task of data mining. In this first part, the chapter first explains important differences between classification models and classification algorithms - a crucial point to understand the contribution of this book, since the proposed genetic programming system produces a classification algorithm作者: Wordlist 時間: 2025-3-27 16:48
Automating the Design of Rule Induction Algorithms,ased genetic programming system for automatically evolving the design of rule induction algorithms. First, this chapter describes the grammar used by the system, which incorporates background knowledge about how human experts manually design a rule induction algorithm. Next, this chapter describes a作者: 平靜生活 時間: 2025-3-27 18:49 作者: Ablation 時間: 2025-3-28 00:03 作者: 后來 時間: 2025-3-28 05:40
10樓作者: debble 時間: 2025-3-28 09:06
10樓
