標(biāo)題: Titlebook: Advances in Knowledge Discovery and Data Mining; 11th Pacific-Asia Co Zhi-Hua Zhou,Hang Li,Qiang Yang Conference proceedings 2007 Springer- [打印本頁(yè)] 作者: 哪能仁慈 時(shí)間: 2025-3-21 18:54
書目名稱Advances in Knowledge Discovery and Data Mining影響因子(影響力)
書目名稱Advances in Knowledge Discovery and Data Mining影響因子(影響力)學(xué)科排名
書目名稱Advances in Knowledge Discovery and Data Mining網(wǎng)絡(luò)公開(kāi)度
書目名稱Advances in Knowledge Discovery and Data Mining網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書目名稱Advances in Knowledge Discovery and Data Mining被引頻次
書目名稱Advances in Knowledge Discovery and Data Mining被引頻次學(xué)科排名
書目名稱Advances in Knowledge Discovery and Data Mining年度引用
書目名稱Advances in Knowledge Discovery and Data Mining年度引用學(xué)科排名
書目名稱Advances in Knowledge Discovery and Data Mining讀者反饋
書目名稱Advances in Knowledge Discovery and Data Mining讀者反饋學(xué)科排名
作者: 瑣碎 時(shí)間: 2025-3-21 21:28
Finding the Real Patterns the consumer of fair and just treatment and of a say in the organisation of the consumer society have spiralled in the past decade, and Whitehouse might well be said to have been one of the first consumer advocates in the field, since the need to give the audience for broadcasting a greater say in 作者: Cumbersome 時(shí)間: 2025-3-22 03:56 作者: alabaster 時(shí)間: 2025-3-22 05:33 作者: 不易燃 時(shí)間: 2025-3-22 12:37 作者: Default 時(shí)間: 2025-3-22 12:57 作者: 拍下盜公款 時(shí)間: 2025-3-22 18:29 作者: RAG 時(shí)間: 2025-3-23 01:00 作者: GUISE 時(shí)間: 2025-3-23 01:56 作者: 連接 時(shí)間: 2025-3-23 08:52 作者: 錯(cuò)事 時(shí)間: 2025-3-23 10:08
G. Leclercq,S. Toma,J. C. Heusonh. The success of our algorithm relies on exploiting both the ACO method and the concept of the graph core. Our experimental evaluations on 18 different graphs show that our algorithm produces encouraging solutions compared with those produced by MeTiS that is a state-of-the-art partitioner in the literature.作者: 擦掉 時(shí)間: 2025-3-23 14:31
Frameworks: A Collaboration of Objects, discoveries. These are patterns that satisfy the specified criteria with respect to the sample data but do not satisfy those criteria with respect to the population from which those data are drawn. This talk discusses the problem of false discoveries, and presents techniques for avoiding them.作者: gruelling 時(shí)間: 2025-3-23 20:33
https://doi.org/10.1007/978-1-4613-8593-6SRS. Empirical comparisons show that the number of basis functions required by the proposed algorithm to achieve the accuracy close to that of SVR is far less than the number of support vectors of SVR.作者: Inflamed 時(shí)間: 2025-3-23 23:52 作者: arthroscopy 時(shí)間: 2025-3-24 04:37 作者: 潛移默化 時(shí)間: 2025-3-24 09:41 作者: saturated-fat 時(shí)間: 2025-3-24 14:27
The Resource Management Component,-dimensional standard categorical datasets, on which it produces more accurate results than other algorithms. We present a faster simplification of HIERDENC called the MULIC algorithm. MULIC performs better than subspace clustering algorithms in terms of finding the multi-layered structure of special datasets.作者: SEMI 時(shí)間: 2025-3-24 17:58 作者: 使隔離 時(shí)間: 2025-3-24 19:29
Overview of Hardware and Softwareew feature sets and feed them into the learning model for better performance of image retrieval. Experiments with real-world datasets show that, with new semantic features as starting points, we can improve the performance of object discovery in terms of various external criteria.作者: Grandstand 時(shí)間: 2025-3-25 02:29 作者: 拔出 時(shí)間: 2025-3-25 05:06 作者: CLAP 時(shí)間: 2025-3-25 09:23
Finding the Real Patternsountable to agencies of the people, and that those agencies must be external to the organisational structure of broadcasting and must ultimately embody the interest, concerns and aspirations of those people and those communities which in their dazzling array constitute the plural society.. Within th作者: Feature 時(shí)間: 2025-3-25 15:13
Deriving Private Information from Arbitrarily Projected Dataof kinetic energy into the wake. Contributions of deterministic stresses are redudeced in the wake due to turbulent mixing in the wind turbine canopy. Based on the observable dependence of the Reynolds stresses on the phase orientation of the rotor blades, decomposition analogous to that of the dete作者: 向外供接觸 時(shí)間: 2025-3-25 19:41 作者: Mhc-Molecule 時(shí)間: 2025-3-25 22:10
A Unifying Method for Outlier and Change Detection from Data Streams Based on Local Polynomial Fitti hope will illuminate similar conflicts in other problem areas by raising the level of the reader‘s moral awareness. Many books in bioethics appeal only to a limited audience in spite of the fact that their subject matter is of deep personal concern to everyone. In part, this is true because they ar作者: PHON 時(shí)間: 2025-3-26 01:16 作者: 細(xì)頸瓶 時(shí)間: 2025-3-26 05:28
Research Frontiers in Advanced Data Mining Technologies and Applications978-94-010-1085-6作者: 雪白 時(shí)間: 2025-3-26 08:55 作者: 知識(shí)分子 時(shí)間: 2025-3-26 14:31
Multi-represented Classification Based on Confidence Estimation978-0-230-39029-4作者: 男學(xué)院 時(shí)間: 2025-3-26 17:33
Selecting a Reduced Set for Building Sparse Support Vector Regression in the Primal978-0-230-60357-8作者: 令人悲傷 時(shí)間: 2025-3-26 21:04 作者: 玉米 時(shí)間: 2025-3-27 02:31 作者: separate 時(shí)間: 2025-3-27 08:12 作者: CHURL 時(shí)間: 2025-3-27 12:11
Multiscale BiLinear Recurrent Neural Network for Prediction of MPEG Video Traffic978-0-387-77040-6作者: gimmick 時(shí)間: 2025-3-27 15:33
An Effective Multi-level Algorithm Based on Ant Colony Optimization for Bisecting Graph978-1-349-03007-1作者: obtuse 時(shí)間: 2025-3-27 21:16 作者: 心胸開(kāi)闊 時(shí)間: 2025-3-28 01:12
https://doi.org/10.1007/978-1-4613-8593-6only QC4 can cope correctly with overlapping clusters, hierarchical clusterings, and all the difficult boundary cases. In the real world tasks, which represent simple clustering situations, QC4 is mostly consistent with the existing measurements and makes better conclusions in some cases.作者: 輕彈 時(shí)間: 2025-3-28 03:48
Overview of Hardware and Softwareproaches are vulnerable to this attack. Our results offer insight into the vulnerabilities of projection based approach and suggest a careful scrutiny when it is applied in privacy-preserving data mining.作者: Antarctic 時(shí)間: 2025-3-28 09:43 作者: 柔軟 時(shí)間: 2025-3-28 13:03
https://doi.org/10.1007/978-3-642-82188-2rediscovers a structured workflow process model. We name it .-., because it is incrementally amalgamating a series of temporal workcases (workflow traces) according to three types of basic merging principles conceived in this paper. Where, a temporal workcase is a temporally ordered set of activity 作者: 愛(ài)好 時(shí)間: 2025-3-28 15:40 作者: 無(wú)情 時(shí)間: 2025-3-28 20:27
The Importance of Being Siblings for unsupervised image segmentation based on the finite mixture model, which can make automatic model selection through introducing entropy regularization into maximum likelihood (ML) estimation. Some segmentation experiments on the Corel image database further demonstrate that the iterative ERL le作者: 群島 時(shí)間: 2025-3-29 00:10
Imaging Management and Integration,ions in data mining and discuss some recent progress in this direction, including (1) pattern mining, usage, and understanding, (2) information network analysis, (3) stream data mining, (4) mining moving object data, RFID data, and data from sensor networks, (5) spatiotemporal and multimedia data mi作者: CLIFF 時(shí)間: 2025-3-29 06:06 作者: PATHY 時(shí)間: 2025-3-29 08:14
HCUG Clinical Information System,identification, noise profiling, and noise tolerant mining. During noise identification, erroneous data records are identified and ranked according to their impact or some predefined measures. Class noise and attribute noise can be distinguished at this stage. This identification allows the users to作者: 令人苦惱 時(shí)間: 2025-3-29 11:53
The Resource Management Component,ropose the HIERDENC algorithm for .. HIERDENC offers a basis for designing simpler clustering algorithms that balance the tradeoff of accuracy and speed. The characteristics of HIERDENC include: . it builds a hierarchy representing the underlying cluster structure of the categorical dataset, . it mi作者: 不持續(xù)就爆 時(shí)間: 2025-3-29 17:09 作者: 大量殺死 時(shí)間: 2025-3-29 23:22 作者: 貪婪地吃 時(shí)間: 2025-3-30 03:36
Overview of Hardware and Softwarend give a formal definition of frequent patterns under such an uncertain data model. We show that traditional algorithms for mining frequent itemsets are either inapplicable or computationally inefficient under such a model. A .framework is proposed to improve mining efficiency. Through extensive ex作者: Externalize 時(shí)間: 2025-3-30 07:12
https://doi.org/10.1007/978-1-4613-8593-6page clustering, different algorithms produce clusterings with different characteristics: coarse vs fine granularity, disjoint vs overlapping, flat vs hierarchical. The lack of a clustering evaluation method that can evaluate clusterings with different characteristics has led to incomparable researc作者: 黃油沒(méi)有 時(shí)間: 2025-3-30 09:52 作者: 有雜色 時(shí)間: 2025-3-30 14:55
Overview of Hardware and Softwarerivacy/accuracy tradeoff by achieving perfect data mining accuracy. One apriori knowledge PCA based attack was recently investigated to show the vulnerabilities of this distance-preserving projected based perturbation approach when a sample dataset is available to attackers. As a result, non-distanc作者: 依法逮捕 時(shí)間: 2025-3-30 20:27
Neuro-Ophthalmology Examination,d to evaluate the quality of a feature subset. The disadvantages of using dependency are discussed in this paper. And the problem of forward greedy search algorithm based on dependency is presented. We introduce the consistency measure to deal with the problems. The relationship between dependency a作者: FLUSH 時(shí)間: 2025-3-30 22:39 作者: 一起平行 時(shí)間: 2025-3-31 02:05 作者: 群居男女 時(shí)間: 2025-3-31 07:43 作者: Colonnade 時(shí)間: 2025-3-31 11:22
G. Leclercq,S. Toma,J. C. Heusonhted graph adjacency matrix that contains all necessary information for clustering. The min-cut bipartitioning problem is a fundamental graph partitioning problem and is NP-Complete. In this paper, we present an effective multi-level algorithm based on ant colony optimization(ACO) for bisecting grap作者: 步履蹣跚 時(shí)間: 2025-3-31 13:25
A. Piffanelli,S. Fumero,D. Pelizzolaationship between these two issues, and presents a unifying method for dealing with both of them. Previous approaches often use parametric techniques and try to give exact results. In contrast, we present a nonparametric method based on local polynomial fitting, and give approximate results by fuzzy作者: 動(dòng)作謎 時(shí)間: 2025-3-31 19:41 作者: 上釉彩 時(shí)間: 2025-3-31 23:29
The Importance of Being Siblings in a database. Though we can solve this kind of model selection problem with some statistical criteria such as the minimum description length (MDL) through implementing the EM algorithm, the process of evaluating these criteria may incur a large computational cost. From competitive learning perspec作者: 領(lǐng)巾 時(shí)間: 2025-4-1 05:53 作者: 手工藝品 時(shí)間: 2025-4-1 08:20
AZ-VUB Clinical Information System,Under large scale data, machine learning becomes inefficient. In order to enhance its performances, new methodologies should be adopted. Taking video retrieval as an example, we discuss its two basic problems: representation and classification problems.
