標(biāo)題: Titlebook: Data Mining for Business Applications; Longbing Cao,Philip S. Yu,Huaifeng Zhang Book 2009 Springer-Verlag US 2009 Business Decision Making [打印本頁] 作者: adulation 時間: 2025-3-21 19:40
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書目名稱Data Mining for Business Applications被引頻次學(xué)科排名
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書目名稱Data Mining for Business Applications讀者反饋
書目名稱Data Mining for Business Applications讀者反饋學(xué)科排名
作者: 魯莽 時間: 2025-3-21 22:19 作者: 絕緣 時間: 2025-3-22 00:27
On Mining Maximal Pattern-Based Clustersion systems and target marketing systems in e-business. However, pattern-based clustering in large databases is still challenging. On the one hand, there can be a huge number of clusters and many of them can be redundant and thus make the pattern-based clustering ineffective. On the other hand, the 作者: 急急忙忙 時間: 2025-3-22 05:46
Role of Human Intelligence in Domain Driven Data Miningeparation, modeling, evaluation and deployment. Various data mining tasks are dependent on the human user for their execution. These tasks and activities that require human intelligence are not amenable to automation like tasks in other phases such as data preparation or modeling are. Nearly all Dat作者: 類似思想 時間: 2025-3-22 12:37
Ontology Mining for Personalized Search provide a satisfactory solution for this challenge, because there exists a lot of uncertainties in the local information repositories. In this chapter, we introduce ontology mining, a new methodology, for solving this challenging issue, which aims to discover interesting and useful knowledge in dat作者: ELATE 時間: 2025-3-22 13:19 作者: ELATE 時間: 2025-3-22 17:54
978-1-4419-4635-5Springer-Verlag US 2009作者: adjacent 時間: 2025-3-23 00:46
Longbing Cao,Philip S. Yu,Huaifeng ZhangPresents knowledge, techniques and case studies to bridge the gap between business expectations and research outputs.Explores new research issues in data mining, including trust, organizational and so作者: Free-Radical 時間: 2025-3-23 03:40 作者: 遠(yuǎn)足 時間: 2025-3-23 08:24
Large-Scale Interconnected Systems,igm shift from ‘data mining’ to ‘knowledge discovery’, we believe much more thorough efforts are essential for promoting the wide acceptance and employment of knowledge discovery in real-world smart decision making. To this end, we expect a new paradigm shift from ‘data-centered knowledge discovery’作者: MAL 時間: 2025-3-23 10:10 作者: 共同確定為確 時間: 2025-3-23 14:26
https://doi.org/10.1057/9781137002693ion systems and target marketing systems in e-business. However, pattern-based clustering in large databases is still challenging. On the one hand, there can be a huge number of clusters and many of them can be redundant and thus make the pattern-based clustering ineffective. On the other hand, the 作者: 完成才能戰(zhàn)勝 時間: 2025-3-23 18:58
https://doi.org/10.1007/978-1-349-03354-6eparation, modeling, evaluation and deployment. Various data mining tasks are dependent on the human user for their execution. These tasks and activities that require human intelligence are not amenable to automation like tasks in other phases such as data preparation or modeling are. Nearly all Dat作者: 漫步 時間: 2025-3-24 00:14 作者: 制定法律 時間: 2025-3-24 04:43
https://doi.org/10.1007/978-1-349-03354-6a Mining methodologies acknowledge the importance of the human user but do not clearly delineate and explain the tasks where human intelligence should be leveraged or in what manner. In this chapter we propose to describe various tasks of the domain understanding phase which require human intelligence for their appropriate execution.作者: 澄清 時間: 2025-3-24 09:26
ssues in data mining, including trust, organizational and so.Data Mining for Business Applications. presents the state-of-the-art research and development outcomes on methodologies, techniques, approaches and successful applications in the area. The contributions mark a paradigm shift from “data-cen作者: Moderate 時間: 2025-3-24 12:35
Book 2009uccessful applications in the area. The contributions mark a paradigm shift from “data-centered pattern mining” to “domain driven actionable knowledge discovery” for next-generation KDD research and applications. The contents identify how KDD techniques can better contribute to critical domain probl作者: 減去 時間: 2025-3-24 16:25
Role of Human Intelligence in Domain Driven Data Mininga Mining methodologies acknowledge the importance of the human user but do not clearly delineate and explain the tasks where human intelligence should be leveraged or in what manner. In this chapter we propose to describe various tasks of the domain understanding phase which require human intelligence for their appropriate execution.作者: 金哥占卜者 時間: 2025-3-24 21:39 作者: Munificent 時間: 2025-3-25 01:42 作者: Perigee 時間: 2025-3-25 04:56 作者: 過份 時間: 2025-3-25 08:20
https://doi.org/10.1007/978-1-349-03354-6ather than dig useful knowledge from the huge amount of discorded patterns or rules. The proposed ontology mining model is evaluated by applying to an information gathering system, and the results are promising.作者: incubus 時間: 2025-3-25 11:56 作者: 憲法沒有 時間: 2025-3-25 16:02 作者: coddle 時間: 2025-3-25 21:01
Ontology Mining for Personalized Searchather than dig useful knowledge from the huge amount of discorded patterns or rules. The proposed ontology mining model is evaluated by applying to an information gathering system, and the results are promising.作者: 武器 時間: 2025-3-26 01:52 作者: homeostasis 時間: 2025-3-26 06:15
On Mining Maximal Pattern-Based Clustersgressively refining search and prune unpromising branches smartly. MaPle+ integrates several interesting heuristics further. Our extensive performance study on both synthetic data sets and real data sets shows that maximal pattern-based clustering is effective — it reduces the number of clusters sub作者: Statins 時間: 2025-3-26 10:31 作者: arsenal 時間: 2025-3-26 12:59 作者: addict 時間: 2025-3-26 19:46 作者: 貴族 時間: 2025-3-26 22:58
Dennis Ahrholdt,Goetz Greve,Gregor Hopf as possible, related topics that are or will produce a significant technical change or economic impact on HVAC&R systems now or in the near future will be highlighted. A selected list of references is given at the end of this chapter, including an excellent treatment of winery refrigeration technol作者: AMBI 時間: 2025-3-27 03:38 作者: Arteriography 時間: 2025-3-27 06:49
1571-5744 e future. This book can well serve as a reference and guide for students, academics, researchers, scientists, engineers, clinicians, government researchers, and healthcare professionals..978-1-4939-4314-2978-1-4614-2140-5Series ISSN 1571-5744 Series E-ISSN 2197-7976 作者: 聯(lián)合 時間: 2025-3-27 09:54
Unmooring the Literary Wordequential, broadly conservative gentry project of remodelling the literary past into a common ‘national heritage’. Significantly, however, this function depended on the expulsion of the more extravagant ‘effete’ fringes of the mania..作者: 憲法沒有 時間: 2025-3-27 14:59
Matthias-W. Stoetzernly monograph on liquid foam in the English language. Naturally the science of foams had advanced in the intervening years so that a practically new book had to be prepared to give justice to the present state of our know- ledge. This monograph has only one author and does not deal with solid foams,作者: FOVEA 時間: 2025-3-27 21:47
