標(biāo)題: Titlebook: Emerging Trends in Knowledge Discovery and Data Mining; PAKDD 2012 Internati Takashi Washio,Jun Luo Conference proceedings 2013 Springer-Ve [打印本頁(yè)] 作者: GALL 時(shí)間: 2025-3-21 17:33
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書(shū)目名稱(chēng)Emerging Trends in Knowledge Discovery and Data Mining影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Emerging Trends in Knowledge Discovery and Data Mining網(wǎng)絡(luò)公開(kāi)度
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書(shū)目名稱(chēng)Emerging Trends in Knowledge Discovery and Data Mining被引頻次
書(shū)目名稱(chēng)Emerging Trends in Knowledge Discovery and Data Mining被引頻次學(xué)科排名
書(shū)目名稱(chēng)Emerging Trends in Knowledge Discovery and Data Mining年度引用
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書(shū)目名稱(chēng)Emerging Trends in Knowledge Discovery and Data Mining讀者反饋
書(shū)目名稱(chēng)Emerging Trends in Knowledge Discovery and Data Mining讀者反饋學(xué)科排名
作者: chemoprevention 時(shí)間: 2025-3-21 22:31
,Adaptive Evidence Accumulation Clustering Using the Confidence of the Objects’ Assignments, cluster. The degree of confidence is then used to select which objects should be emphasized in the learning process of the clustering algorithm. New consensus partition validity measures, based on the notion of degree of confidence, are also proposed. In order to evaluate the performance of our app作者: DEAF 時(shí)間: 2025-3-22 03:47 作者: CHASE 時(shí)間: 2025-3-22 07:10 作者: GRAVE 時(shí)間: 2025-3-22 10:44 作者: 先鋒派 時(shí)間: 2025-3-22 13:39
0302-9743 ering, subspace/projective clustering, co-clustering, and multi-view clustering; GeoDoc 2012 highlighted the formalization of geospatial concepts and relationships with a focus on the extraction of geospatial relations in free text 978-3-642-36777-9978-3-642-36778-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 先鋒派 時(shí)間: 2025-3-22 19:10 作者: 打谷工具 時(shí)間: 2025-3-23 00:53
Offenlegungspolitik von Investmentfonds cluster. The degree of confidence is then used to select which objects should be emphasized in the learning process of the clustering algorithm. New consensus partition validity measures, based on the notion of degree of confidence, are also proposed. In order to evaluate the performance of our app作者: 鉤針織物 時(shí)間: 2025-3-23 01:58 作者: FEAS 時(shí)間: 2025-3-23 08:27 作者: occurrence 時(shí)間: 2025-3-23 13:04
Conference proceedings 2013gement (DMHM 2012), First Workshop on Geospatial Information and Documents (GeoDoc 2012), First Workshop on Multi-view data, High-dimensionality, External Knowledge: Striving for a Unified Approach to Clustering (3Clust 2012), and the Second Doctoral Symposium on Data Mining (DSDM 2012); held in con作者: Myosin 時(shí)間: 2025-3-23 14:59
0302-9743 DD 2012 International Workshops: Third Workshop on Data Mining for Healthcare Management (DMHM 2012), First Workshop on Geospatial Information and Documents (GeoDoc 2012), First Workshop on Multi-view data, High-dimensionality, External Knowledge: Striving for a Unified Approach to Clustering (3Clus作者: ACRID 時(shí)間: 2025-3-23 20:00 作者: 昏暗 時(shí)間: 2025-3-24 01:13
https://doi.org/10.1007/978-3-662-24747-1. ALIVE is one of the first attempts to provide an analytical and visual framework for healthcare analytics, promoting collaboration and sharing of data through ease of use and potential extensibility. We encourage the development of similar tools, which can assist in facilitating successful sharing, collaboration, and a vibrant online community.作者: Protein 時(shí)間: 2025-3-24 02:55
,Die Bedeutung des Wortes benutzt im § 2,atic and geospatial that are usually recognized in a geographical query. We have evaluated each of the reformulations proposed using GeoCLEF as an evaluation framework for GIR systems. The results obtained show that all proposed query reformulations retrieved relevant documents that were not retrieved using the original query.作者: 胡言亂語(yǔ) 時(shí)間: 2025-3-24 09:21
Modality Classification for Medical Images Using Sparse Coded Affine-Invariant Descriptors,on data set. We show that using a fully affine-invariant feature descriptor and sparse coding on these descriptors in the Bag-of-Words image representation significantly increases the classification accuracy. Our best method achieves 87.89 and outperforms the state of the art.作者: CHAR 時(shí)間: 2025-3-24 13:01
ALIVE: A Multi-relational Link Prediction Environment for the Healthcare Domain,. ALIVE is one of the first attempts to provide an analytical and visual framework for healthcare analytics, promoting collaboration and sharing of data through ease of use and potential extensibility. We encourage the development of similar tools, which can assist in facilitating successful sharing, collaboration, and a vibrant online community.作者: 法律的瑕疵 時(shí)間: 2025-3-24 17:29
Applying NLP Techniques for Query Reformulation to Information Retrieval with Geographical Referencatic and geospatial that are usually recognized in a geographical query. We have evaluated each of the reformulations proposed using GeoCLEF as an evaluation framework for GIR systems. The results obtained show that all proposed query reformulations retrieved relevant documents that were not retrieved using the original query.作者: Intentional 時(shí)間: 2025-3-24 21:36 作者: 懶惰人民 時(shí)間: 2025-3-25 02:14
An Improved Genetic Clustering Algorithm for Categorical Data,tic algorithm (GA). In this paper, we propose a new initialization method for G-ANMI to improve its efficiency. Experimental results show that the new method greatly improves the efficiency of G-ANMI as well as produces higher clustering accuracy.作者: 挑剔小責(zé) 時(shí)間: 2025-3-25 04:28
Die strategische Positionierung entwickeln,neralization form of the Weyl inner product, we present an explicit description of the RKHS of the extended Gaussian kernel. Furthermore, using the Funk-Hecke formula, we get the eigenvalues and eigenfunctions of the integral operator on the unit sphere.作者: 許可 時(shí)間: 2025-3-25 10:11 作者: 監(jiān)禁 時(shí)間: 2025-3-25 14:52
,Die?Zukunft?der Arbeit im ?kosystem,hs...). The experiments conducted on a real corpora (AFP news) showed a precision greater than 94% and an F-measure above 85%. We also investigate the interest of tacking into account the data collected through social networks such as Twitter to trigger alarms.作者: ALIAS 時(shí)間: 2025-3-25 18:44 作者: 幾何學(xué)家 時(shí)間: 2025-3-25 21:40 作者: 出血 時(shí)間: 2025-3-26 01:53 作者: LATHE 時(shí)間: 2025-3-26 04:38 作者: 縮短 時(shí)間: 2025-3-26 10:42
Triangular Kernel Nearest-Neighbor-Based Clustering Algorithm for Discovering True Clusters,rs with arbitrary shape, size and density contained in the datasets. The experimental results on benched-mark datasets showed the effectiveness of our technique. Our proposed TKNN achieved more accurate clustering results and required less time processing compared with k-means, ILGC, DBSCAN and KFCM.作者: 要控制 時(shí)間: 2025-3-26 15:36
Offene oder geschlossene Kollektividentit?ttos. While assessing image modality is trivial for humans, reliable automatic methods are required to deal with large un-annotated image bases, such as figures taken from the millions of scientific publications. We present a multi-disciplinary approach to tackle the classification problem by combini作者: 贊美者 時(shí)間: 2025-3-26 20:49
,Die?Zukunft?der Arbeit im ?kosystem,s and news classification to understand the epidemic evolution. Descriptive studies are useful for gathering information on the incidence and characteristics of an epidemic. New approaches, based on new modes of mass publication through the web, are developed: based on the analysis of user queries o作者: monopoly 時(shí)間: 2025-3-26 22:42 作者: Condense 時(shí)間: 2025-3-27 01:29
https://doi.org/10.1007/978-3-662-24747-1his purpose, we propose ALIVE, a multi-relational link prediction and visualization environment for the healthcare domain. ALIVE combines novel link prediction methods with a simple user interface and intuitive visualization of data to enhance the decision-making process for healthcare professionals作者: 有組織 時(shí)間: 2025-3-27 07:14 作者: Expediency 時(shí)間: 2025-3-27 10:38
,Die Bedeutung des Wortes benutzt im § 2,phical criteria of relevance. However, since a GIR system can be treated as a traditional Information Retrieval (IR) system, it is important to pay attention to finding effective methods for query reformulation. In this way, the search results will improve their quality and recall. In this paper, we作者: 極微小 時(shí)間: 2025-3-27 13:36 作者: Autobiography 時(shí)間: 2025-3-27 19:24 作者: Tartar 時(shí)間: 2025-3-28 00:52
https://doi.org/10.1007/978-3-322-86006-444–149(2010)] proposed a mutual information based genetic clustering algorithm named G-ANMI for categorical data. While G-ANMI is superior or comparable to existing algorithms for clustering categorical data in terms of clustering accuracy, it is very time-consuming due to the low efficiency of gene作者: 攤位 時(shí)間: 2025-3-28 04:30 作者: Emmenagogue 時(shí)間: 2025-3-28 08:20
Exporting and Importing XML in Access,re predetermined number of clusters. However, the triangular kernel-nearest neighbor-based clustering (TKNN) has been proven able to determine the number and member of clusters automatically. TKNN provides good solutions for clustering non-spherical and high-dimensional data without prior knowledge 作者: 暗指 時(shí)間: 2025-3-28 13:38 作者: abracadabra 時(shí)間: 2025-3-28 16:40
Emerging Trends in Knowledge Discovery and Data Mining978-3-642-36778-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: filicide 時(shí)間: 2025-3-28 21:27
Takashi Washio,Jun LuoHigh quality selected papers.Unique visibility.State of the art research作者: 品嘗你的人 時(shí)間: 2025-3-29 02:36
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/e/image/308516.jpg作者: 委派 時(shí)間: 2025-3-29 03:36
https://doi.org/10.1007/978-3-642-36778-6classification; health informatics; information retrieval; machine learning; process mining作者: 使苦惱 時(shí)間: 2025-3-29 08:12
Modality Classification for Medical Images Using Sparse Coded Affine-Invariant Descriptors,tos. While assessing image modality is trivial for humans, reliable automatic methods are required to deal with large un-annotated image bases, such as figures taken from the millions of scientific publications. We present a multi-disciplinary approach to tackle the classification problem by combini作者: inconceivable 時(shí)間: 2025-3-29 11:36 作者: 愛(ài)花花兒憤怒 時(shí)間: 2025-3-29 18:03
Getting a Grasp on Clinical Pathway Data: An Approach Based on Process Mining,enges in terms of design, implementation and diagnosis. Nonetheless, streamlining clinical pathways with the purpose of delivering high quality care while at the same time reducing costs is a promising goal. In this paper, we propose a methodology founded on process mining for intelligent analysis o作者: nonplus 時(shí)間: 2025-3-29 23:20
ALIVE: A Multi-relational Link Prediction Environment for the Healthcare Domain,his purpose, we propose ALIVE, a multi-relational link prediction and visualization environment for the healthcare domain. ALIVE combines novel link prediction methods with a simple user interface and intuitive visualization of data to enhance the decision-making process for healthcare professionals作者: incite 時(shí)間: 2025-3-30 01:48 作者: amputation 時(shí)間: 2025-3-30 04:08
Applying NLP Techniques for Query Reformulation to Information Retrieval with Geographical Referencphical criteria of relevance. However, since a GIR system can be treated as a traditional Information Retrieval (IR) system, it is important to pay attention to finding effective methods for query reformulation. In this way, the search results will improve their quality and recall. In this paper, we
