標(biāo)題: Titlebook: Information Granularity, Big Data, and Computational Intelligence; Witold Pedrycz,Shyi-Ming Chen Book 2015 Springer International Publishi [打印本頁] 作者: Spouse 時(shí)間: 2025-3-21 19:13
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書目名稱Information Granularity, Big Data, and Computational Intelligence讀者反饋學(xué)科排名
作者: 土坯 時(shí)間: 2025-3-21 22:26 作者: 聯(lián)合 時(shí)間: 2025-3-22 02:31
978-3-319-38161-9Springer International Publishing Switzerland 2015作者: 夜晚 時(shí)間: 2025-3-22 07:44 作者: ciliary-body 時(shí)間: 2025-3-22 09:15 作者: 誘導(dǎo) 時(shí)間: 2025-3-22 15:18
Book 2015n-depth material on the emerging principles, conceptual underpinnings, algorithms and practice of Computational Intelligence in the realization of concepts and implementation of big data architectures, analysis, and interpretation as well as data analytics. The book is aimed at a broad audience of r作者: Ptosis 時(shí)間: 2025-3-22 21:04
Georgios Chatzimilioudis,Andreas Konstantinidis,Demetrios Zeinalipour-Yaztiove enterprise behavior by establishing effective corporate governance mechanisms and strengthening financial discipline. A third one is provision of supporting institutions and infrastructure needed for a market based enterprise economy. Key in this regard is the development of social benefit progr作者: 心神不寧 時(shí)間: 2025-3-22 23:05
Bo Xinges to difficulties which formal law-making capacities of international law face with regard to regulation of global sustainability concerns, especially as these are related to human rights abuses or other types of negative impact caused by business action.作者: aerobic 時(shí)間: 2025-3-23 02:35 作者: Monocle 時(shí)間: 2025-3-23 08:03
Jianxiong Yang,Junzo Watadaes to difficulties which formal law-making capacities of international law face with regard to regulation of global sustainability concerns, especially as these are related to human rights abuses or other types of negative impact caused by business action.作者: Eructation 時(shí)間: 2025-3-23 13:32
Yan-ping Zhang,Ling Zhang,Chenchu Xu this progress also brought about a lot of criticism, largely from nongovernmental organizations (NGOs), academics and the wider press. Thérien and Pouliot,. for instance, argue that the Compact fosters a ‘pro-market spin’ that breaks with the UN’s traditional position and thus is eroding its legiti作者: 吹牛大王 時(shí)間: 2025-3-23 15:15 作者: microscopic 時(shí)間: 2025-3-23 18:16 作者: 清楚說話 時(shí)間: 2025-3-24 00:41
Roger Frye,Mark McKenneyountry in the region - albeit at a later stage - to impose capital controls and fixed the ringgit at 3.80 to the US dollar in September 1998. Despite important differences between single countries, this chapter will only refer to individual countries when considered relevant.作者: otic-capsule 時(shí)間: 2025-3-24 03:03
Edy Portmann,Patrick Kaltenriederences that may impact on these firms’ behaviour in such times. From the point of view of developing countries, here Southeast Asia, analyses such as these are important in order to better forecast the effects of sudden growth declines on the investment and employment situation and hence on the gener作者: GONG 時(shí)間: 2025-3-24 06:35 作者: 斗爭 時(shí)間: 2025-3-24 12:36 作者: terazosin 時(shí)間: 2025-3-24 14:52
2197-6503 tice of Computational Intelligence in the realization of concepts and implementation of big data architectures, analysis, and interpretation as well as data analytics. The book is aimed at a broad audience of r978-3-319-38161-9978-3-319-08254-7Series ISSN 2197-6503 Series E-ISSN 2197-6511 作者: 軟弱 時(shí)間: 2025-3-24 22:13 作者: Ceramic 時(shí)間: 2025-3-25 01:23
Information Granularity, Big Data, and Computational Intelligence作者: 長矛 時(shí)間: 2025-3-25 05:40
Nearest Neighbor Queries on Big Databased on a novel data structure, coined ..-heap. ., being parameter-free, performs efficiently in the face of high velocity and skewed data. In our analytical studies, we found that . provides better time complexity compared to existing approaches and is very well suited for large scale scenarios.作者: Harridan 時(shí)間: 2025-3-25 08:21 作者: 表示向前 時(shí)間: 2025-3-25 14:16
Information Granules Problem: An Efficient Solution of Real-Time Fuzzy Regression Analysis the computing time, especially in case of real-time data analysis, as well as an overall computational complexity. Additionally, the proposed approach shows an efficient real-time processing of information granules regression analysis based on the convex hull approach in which a Beneath-Beyond algo作者: myocardium 時(shí)間: 2025-3-25 19:52
How to Understand Connections Based on Big Data: From Cliques to Flexible Granulessonably successful. The second limitation is that this heuristic method is based on using “crisp” granules (clusters), while in reality, the corresponding granules are flexible (“fuzzy”). In this chapter, we explain how the known semi-heuristic method can be justified in statistical terms, and we al作者: 繞著哥哥問 時(shí)間: 2025-3-25 20:04 作者: KEGEL 時(shí)間: 2025-3-26 01:12
The Property of Different Granule and Granular Methods Based on Quotient Spacenly it can represent vectors of the problem domain, different structures between vectors, but also it can define different attribute functions and operations etc. In this paper, we discuss the method how to represent and to partition an object in granular worlds, and educe the relationship of differ作者: demote 時(shí)間: 2025-3-26 05:13 作者: Heart-Rate 時(shí)間: 2025-3-26 10:53 作者: 言外之意 時(shí)間: 2025-3-26 15:22 作者: 欲望 時(shí)間: 2025-3-26 18:27
2197-6503 duction to Computational Intelligence.Self-contained and eas.The recent pursuits emerging in the realm of big data processing, interpretation, collection and organization have emerged in numerous sectors including business, industry and government organizations. Data sets such as customer transactio作者: 熟練 時(shí)間: 2025-3-26 22:52
Incrementally Mining Frequent Patterns from Large Database generate a large tree structure. In this paper, we propose two efficient algorithms which only keep frequent items in a condensed tree structure. When a set of new transactions is added into the database, our algorithms can efficiently update the tree structure without scanning the original database.作者: violate 時(shí)間: 2025-3-27 04:00
Improved Latent Semantic Indexing-Based Data Mining Methods and an Application to Big Data Analysis that in the context of customer support centers, service experience has strongly influence on perceived customer satisfaction and service quality. Based on the research results an improved approach for innovative CRM is presented. The thesis proposes three methods and explains an application to big data analysis for CRM at the end.作者: certitude 時(shí)間: 2025-3-27 09:01
Multi-granular Evaluation Model Through Fuzzy Random Regression to Improve Information Granularityction process for fruits requires a method to ensure product quality. We include simulation results and highlight the advantage of the proposed method in handling the existence of fuzzy random information.作者: 無意 時(shí)間: 2025-3-27 11:28 作者: 種屬關(guān)系 時(shí)間: 2025-3-27 16:41 作者: Filibuster 時(shí)間: 2025-3-27 21:26
Customer Relationship Management and Big Data Miningcs, increase the value to the customer, and improve their competitive advantages of enterprises. In this chapter, discuss big data mining, customer relationship management, customer value, and propose a case study of big data mining for customer relationship management with data of the Automotive Maintenance Industry.作者: 外貌 時(shí)間: 2025-3-28 01:39 作者: 心神不寧 時(shí)間: 2025-3-28 02:23
The Web KnowARR Framework: Orchestrating Computational Intelligence with Graph Databases On one hand, they resort to non-public content and on the other they resort to content that is available to the public (mostly on the Web). The Semantic Web offers opportunities not only to present public content descriptively but also to show relationships. The proposed framework can serve as the basis for the public content of stakeholder maps.作者: 指數(shù) 時(shí)間: 2025-3-28 09:15 作者: LAITY 時(shí)間: 2025-3-28 11:03 作者: irritation 時(shí)間: 2025-3-28 16:33 作者: JADED 時(shí)間: 2025-3-28 22:32
How to Understand Connections Based on Big Data: From Cliques to Flexible Granulesost favorable outcome. To be able to do that, we need to have a quantitative model describing how the values of the desired quantities change—and for that, we need to know which factors influence this change. Usually, these factors are selected by using traditional statistical techniques, but with t作者: 膽小懦夫 時(shí)間: 2025-3-29 02:10
Graph-Based Framework for Evaluating the Feasibility of Transition to Maintainomicsuracy and the ability to offer tracking information led to the augmentation of e-technologies’ applications within maintenance management, i.e., e-maintenance. However, like any other information and communication (ICT)-based operation, massive data sets (i.e., big data) are generated from videos, a作者: 軟弱 時(shí)間: 2025-3-29 05:40 作者: Hyperlipidemia 時(shí)間: 2025-3-29 10:57 作者: arbiter 時(shí)間: 2025-3-29 15:17
The Property of Different Granule and Granular Methods Based on Quotient Spaceo describe or present objects is the base to solve questions frequently. So we suppose that a problem solving space, or a problem space for short, is described by a triplet (.,?.,?.), and assume that . is a domain, . is an equivalence relation on ., . is a topology of ., [.] is a quotient set under 作者: Intervention 時(shí)間: 2025-3-29 17:14 作者: 一回合 時(shí)間: 2025-3-29 20:18 作者: Antimicrobial 時(shí)間: 2025-3-30 02:15 作者: ANN 時(shí)間: 2025-3-30 04:22
Building Fuzzy Robust Regression Model Based on Granularity and Possibility Distributionerval for a granular instead of a single numerical value. This granular provides the wider treatment for us to human-centered understanding of the latent system. Such a granule or interval of fuzzy regression model is created by considering how far a sample is from the central values. That means whe作者: nephritis 時(shí)間: 2025-3-30 10:09 作者: 腫塊 時(shí)間: 2025-3-30 13:41
Big Data Storage Techniques for Spatial Databases: Implications of Big Data Architecture on Spatial big data. Solutions such as Hadoop have emerged to address the big data problem. However, spatial data presents its own challenges to storage and processing. Researchers have taken various approaches with Hadoop to handle spatial data efficiently. The approaches includes multi-stage map/reduce algor作者: 微粒 時(shí)間: 2025-3-30 17:44 作者: cauda-equina 時(shí)間: 2025-3-31 00:45
Customer Relationship Management and Big Data Miningvely find complex customer data from large quantities of data by big data mining to help understand and interact with them by suitable marketing tactics, increase the value to the customer, and improve their competitive advantages of enterprises. In this chapter, discuss big data mining, customer re作者: 異端 時(shí)間: 2025-3-31 00:57 作者: 無所不知 時(shí)間: 2025-3-31 08:55
Bo Xings of the United Nations (UN) Special Representative of the Secretary-General (SRSG) on business and human rights is one such forum. The 2002–2004 EU Multi-Stakeholder (MSF) on CSR is another; the UN Global Compact a third. These are all set within institutional frameworks of intergovernmental organi作者: grenade 時(shí)間: 2025-3-31 11:03
Yue-Shi Lee,Show-Jane Yens the world’s largest network-based voluntary corporate citizenship initiative.. The term ‘corporate citizenship’ is adopted here from the literature as a descriptor for a voluntary change of business practices to meet the responsibilities imposed on firms by their stakeholders.. It is, however, out
