標(biāo)題: Titlebook: Evolutionary Decision Trees in Large-Scale Data Mining; Marek Kretowski Book 2019 Springer Nature Switzerland AG 2019 Evolutionary Computa [打印本頁(yè)] 作者: 厭倦了我 時(shí)間: 2025-3-21 16:58
書目名稱Evolutionary Decision Trees in Large-Scale Data Mining影響因子(影響力)
書目名稱Evolutionary Decision Trees in Large-Scale Data Mining影響因子(影響力)學(xué)科排名
書目名稱Evolutionary Decision Trees in Large-Scale Data Mining網(wǎng)絡(luò)公開度
書目名稱Evolutionary Decision Trees in Large-Scale Data Mining網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Evolutionary Decision Trees in Large-Scale Data Mining被引頻次
書目名稱Evolutionary Decision Trees in Large-Scale Data Mining被引頻次學(xué)科排名
書目名稱Evolutionary Decision Trees in Large-Scale Data Mining年度引用
書目名稱Evolutionary Decision Trees in Large-Scale Data Mining年度引用學(xué)科排名
書目名稱Evolutionary Decision Trees in Large-Scale Data Mining讀者反饋
書目名稱Evolutionary Decision Trees in Large-Scale Data Mining讀者反饋學(xué)科排名
作者: chalice 時(shí)間: 2025-3-21 20:39 作者: Ordeal 時(shí)間: 2025-3-22 00:41
2197-6503 ze of the datasets makes the fastest memory computing impossible, the Spark-based implementation on computer clusters, which offers impressive fault tolerance and scalability potential, can be applied. .978-3-030-21853-9978-3-030-21851-5Series ISSN 2197-6503 Series E-ISSN 2197-6511 作者: DALLY 時(shí)間: 2025-3-22 05:02 作者: ELATE 時(shí)間: 2025-3-22 12:39 作者: 高談闊論 時(shí)間: 2025-3-22 16:53 作者: 高談闊論 時(shí)間: 2025-3-22 18:47 作者: 半球 時(shí)間: 2025-3-23 01:10
https://doi.org/10.1007/978-3-030-21851-5Evolutionary Computation; Decision Trees; Distributed Computing; Evolutionary Induction of Decision Tre作者: Barter 時(shí)間: 2025-3-23 03:12 作者: tangle 時(shí)間: 2025-3-23 08:27
Evolutionary ComputationA lot of typical problems that have to be commonly solved in engineering or business can be formulated as optimization problems. The performance of an activity or the value of a decision are characterized by a certain cost function, and here, possible alternatives are considered.作者: intellect 時(shí)間: 2025-3-23 10:00
https://doi.org/10.1007/978-1-137-06334-2for in these data and what tools are needed for mining the data. The differences and similarities between a classification and regression are described. Then, the focus is moved to decision trees and classical methods in their induction, but the presentation should not be treated as an extensive ove作者: dura-mater 時(shí)間: 2025-3-23 16:12
Consolidation, Mitigation and Conclusions, computers are quite good for typical document editing or Internet exploration, but they are not sufficient for highly demanding calculations. Moreover, it is well-known that improving the computation power of stand-alone machines by increasing the clock frequency in processors is limited.作者: exhibit 時(shí)間: 2025-3-23 21:45 作者: 自作多情 時(shí)間: 2025-3-24 00:08
https://doi.org/10.1007/978-3-662-66407-0ems are frequently overgrown and unstable [.]. Globally induced decision trees are smaller, as shown in the previous chapter, but still, for certain problems, especially when decision borders are not axis-parallel, room for improvement exists. However, this requires making a decision tree representa作者: Disk199 時(shí)間: 2025-3-24 03:32 作者: Offset 時(shí)間: 2025-3-24 07:14 作者: Negligible 時(shí)間: 2025-3-24 11:38
https://doi.org/10.1007/978-3-662-46173-0 solutions, it is often enough for practitioners who are interested in solving specific problems. The implementations of the most popular greedy algorithms are available in every data mining commercial system, and they can be very easily applied without any profound awareness of the parameter settin作者: Commemorate 時(shí)間: 2025-3-24 18:34 作者: GUILT 時(shí)間: 2025-3-24 20:29
Studies in Big Datahttp://image.papertrans.cn/e/image/317918.jpg作者: 冷淡一切 時(shí)間: 2025-3-25 00:21 作者: LUDE 時(shí)間: 2025-3-25 03:51
Evaporation into the Atmosphereeated as equal whenever available. In real-world applications in medicine or business, such an idealization is not always possible. Often, a cost-sensitive prediction is desirable, and it should account for various cost types, starting with the asymmetric costs (losses) associated with predictive errors.作者: 展覽 時(shí)間: 2025-3-25 08:21 作者: 創(chuàng)造性 時(shí)間: 2025-3-25 13:40 作者: 遺留之物 時(shí)間: 2025-3-25 17:41
Book 2019 regression trees from data. The resulting univariate or oblique trees are significantly smaller than those produced by standard top-down methods, an aspect that is critical for the interpretation of mined patterns by domain analysts. The approach presented here is extremely flexible and can easily 作者: 否決 時(shí)間: 2025-3-25 21:49
2197-6503 from three domains are discussed, all of which are necessary.This book presents a unified framework, based on specialized evolutionary algorithms, for the global induction of various types of classification and regression trees from data. The resulting univariate or oblique trees are significantly s作者: growth-factor 時(shí)間: 2025-3-26 01:17 作者: 方舟 時(shí)間: 2025-3-26 06:56 作者: delegate 時(shí)間: 2025-3-26 10:45
https://doi.org/10.1007/978-1-137-06334-2rview of this wide area of research. The most important information about decision trees is provided, and this subjective selection is intended to be helpful in understanding the proposed global approach. Finally, the related works on applying evolutionary computation in decision trees are studied.作者: 高原 時(shí)間: 2025-3-26 15:19 作者: jungle 時(shí)間: 2025-3-26 18:29 作者: 無(wú)瑕疵 時(shí)間: 2025-3-26 23:21 作者: PLUMP 時(shí)間: 2025-3-27 01:09 作者: BOAST 時(shí)間: 2025-3-27 07:37
Parallel Computations for Evolutionary Inductionithms are available in every data mining commercial system, and they can be very easily applied without any profound awareness of the parameter settings or running details. Moreover, knowledge of the existence of alternative induction methods is still limited to a narrow group of researchers who are working on this topic.作者: cyanosis 時(shí)間: 2025-3-27 10:28 作者: 言外之意 時(shí)間: 2025-3-27 16:05 作者: syring 時(shí)間: 2025-3-27 21:43
Global Induction of Univariate Treesdreau, Potvin in Handbook of metaheuristics. Springer, Berlin, 2010) [.]. However, their success in solving complex problems strongly depends on a proper identification of the aims, understanding the constraints and using domain knowledge as much as possible (Michalewicz, Fogel, How to solve it: mod作者: 代替 時(shí)間: 2025-3-28 01:43
Oblique and Mixed Decision Treesems are frequently overgrown and unstable [.]. Globally induced decision trees are smaller, as shown in the previous chapter, but still, for certain problems, especially when decision borders are not axis-parallel, room for improvement exists. However, this requires making a decision tree representa作者: Nutrient 時(shí)間: 2025-3-28 05:43
Cost-Sensitive Tree Inductioneated as equal whenever available. In real-world applications in medicine or business, such an idealization is not always possible. Often, a cost-sensitive prediction is desirable, and it should account for various cost types, starting with the asymmetric costs (losses) associated with predictive er作者: HAIL 時(shí)間: 2025-3-28 09:22 作者: Halfhearted 時(shí)間: 2025-3-28 14:02 作者: Dungeon 時(shí)間: 2025-3-28 16:51 作者: 不能強(qiáng)迫我 時(shí)間: 2025-3-28 22:19
Holm Gero Hümmlerl and technical applications, and its mathematical beauty makes it an interesting study for pure mathema- cians as well. I have taught courses on these subjects for decades to civil engineeringstudents,andalsomathematicsmajors,andthepresentvolume can be regarded as my collected experiences from this作者: armistice 時(shí)間: 2025-3-29 02:57
Book 2015sans?tze zum Entstehen und Wirken von Emotionen im Eventkontext. Der Band fasst die auf der sechsten Wissenschaftlichen Konferenz Eventforschung, die am 24. Oktober 2014 an der TU Chemnitz stattfand, vorgestellten und diskutierten aktuellen Forschungsergebnisse zum Thema Events und Emotionen zusamme
