標(biāo)題: Titlebook: Advances in Knowledge Discovery and Data Mining; 26th Pacific-Asia Co Jo?o Gama,Tianrui Li,Fei Teng Conference proceedings 2022 The Editor( [打印本頁(yè)] 作者: 佯攻 時(shí)間: 2025-3-21 19:17
書(shū)目名稱Advances in Knowledge Discovery and Data Mining影響因子(影響力)
書(shū)目名稱Advances in Knowledge Discovery and Data Mining影響因子(影響力)學(xué)科排名
書(shū)目名稱Advances in Knowledge Discovery and Data Mining網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Advances in Knowledge Discovery and Data Mining網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Advances in Knowledge Discovery and Data Mining被引頻次
書(shū)目名稱Advances in Knowledge Discovery and Data Mining被引頻次學(xué)科排名
書(shū)目名稱Advances in Knowledge Discovery and Data Mining年度引用
書(shū)目名稱Advances in Knowledge Discovery and Data Mining年度引用學(xué)科排名
書(shū)目名稱Advances in Knowledge Discovery and Data Mining讀者反饋
書(shū)目名稱Advances in Knowledge Discovery and Data Mining讀者反饋學(xué)科排名
作者: Lice692 時(shí)間: 2025-3-21 21:06 作者: coddle 時(shí)間: 2025-3-22 01:34 作者: Hamper 時(shí)間: 2025-3-22 07:11 作者: Anticoagulant 時(shí)間: 2025-3-22 11:41 作者: 蘆筍 時(shí)間: 2025-3-22 15:38
Bin Cao,Qinyu Zhang,Jon W. Mark set biases, i.e., label noise and class imbalance. While both learning with noisy labels and class-imbalanced learning have received tremendous attention, existing works mainly focus on one of these two training set biases. To fill the gap, we propose ., which does not require fitting additional pa作者: Vaginismus 時(shí)間: 2025-3-22 19:59
Y.-W. Peter Hong,Wan-Jen Huang,C.-C. Jay Kuoion between quantum entangled systems often surpasses that between classical systems, quantum information processing methods show superiority that classical methods do not possess. In this paper, we study the virtue of entangled systems and propose a novel classification algorithm called Quantum Ent作者: 刺耳的聲音 時(shí)間: 2025-3-22 23:17 作者: capsaicin 時(shí)間: 2025-3-23 04:21 作者: SEVER 時(shí)間: 2025-3-23 07:31
https://doi.org/10.1007/978-1-4615-2253-9ng, a paradigm for computing making use of quantum theory. Quantum computing can empower machine learning with theoretical properties allowing to overcome the limitations of classical computing. The translation of classical algorithms into their quantum counter-part is not trivial and hides many dif作者: 鈍劍 時(shí)間: 2025-3-23 12:51 作者: HEAVY 時(shí)間: 2025-3-23 16:13 作者: certain 時(shí)間: 2025-3-23 18:37
Klaus Opwis,Rolf Pl?tzner,Hans Spada widely demonstrated in many real world applications. The traditional algorithms return the set of all patterns with a utility above a minimum utility threshold which is difficult to fix, while top-k algorithms tend to lack of diversity in the produced patterns. We propose an algorithm named . to sa作者: buoyant 時(shí)間: 2025-3-24 00:05 作者: 編輯才信任 時(shí)間: 2025-3-24 05:02 作者: Cosmopolitan 時(shí)間: 2025-3-24 09:33
The Agreement of Euler-Lagrange Systems,hods have received increasing attention. However, discovering arbitrarily shaped clusters, determining the location and number of clustering cores and dealing with fuzzy boundaries is tough for most algorithms. We propose a novel clustering algorithm with dynamic boundary extraction strategy based o作者: CHECK 時(shí)間: 2025-3-24 13:43 作者: Eclampsia 時(shí)間: 2025-3-24 15:35 作者: Endearing 時(shí)間: 2025-3-24 20:51 作者: BULLY 時(shí)間: 2025-3-24 23:40 作者: 蹣跚 時(shí)間: 2025-3-25 07:05 作者: 徹底檢查 時(shí)間: 2025-3-25 07:38
Advances in Knowledge Discovery and Data Mining978-3-031-05936-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 賞心悅目 時(shí)間: 2025-3-25 13:17
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/148620.jpg作者: 他很靈活 時(shí)間: 2025-3-25 19:31 作者: 先鋒派 時(shí)間: 2025-3-25 21:59
https://doi.org/10.1007/978-1-4615-2253-9 and their effect on the performance. We show that, with certain data preparation strategies, quantum algorithms are comparable with the classic version, yet allowing for a theoretical reduction of the complexity for distances calculation.作者: 不適當(dāng) 時(shí)間: 2025-3-26 03:56 作者: dilute 時(shí)間: 2025-3-26 05:01 作者: 嚴(yán)厲批評(píng) 時(shí)間: 2025-3-26 10:41 作者: 微塵 時(shí)間: 2025-3-26 15:23 作者: incite 時(shí)間: 2025-3-26 16:59
Y.-W. Peter Hong,Wan-Jen Huang,C.-C. Jay Kuo designed to remove “weak” instances selected in previous rounds. Experiments were undertaken on nine benchmark datasets. The results show that SPOR is superior to both popular co-training regression methods and state-of-the-art semi-supervised regressors.作者: coagulation 時(shí)間: 2025-3-26 21:04 作者: Ischemia 時(shí)間: 2025-3-27 04:49 作者: Insul島 時(shí)間: 2025-3-27 05:31 作者: 豎琴 時(shí)間: 2025-3-27 11:28 作者: Oscillate 時(shí)間: 2025-3-27 13:58 作者: aquatic 時(shí)間: 2025-3-27 21:45 作者: 影響帶來(lái) 時(shí)間: 2025-3-27 22:00
Self-paced Safe Co-training for Regression designed to remove “weak” instances selected in previous rounds. Experiments were undertaken on nine benchmark datasets. The results show that SPOR is superior to both popular co-training regression methods and state-of-the-art semi-supervised regressors.作者: beta-carotene 時(shí)間: 2025-3-28 05:56
Divide and?Imitate: Multi-cluster Identification and?Mitigation of?Selection Biass this limitation. By allowing mixtures of multivariate Gaussians, our technique is able to model multi-cluster datasets and provide solutions for a substantially wider set of problems. Experiments confirm that . not only identifies potential biases in multi-cluster datasets which can be corrected early on but also improves classifier performance.作者: 僵硬 時(shí)間: 2025-3-28 07:01
A Novel Clustering Algorithm with?Dynamic Boundary Extraction Strategy Based on?Local Gravitationre groups is clear and easy to cluster. On this basis, the core group clustering (CGC) is further proposed to cluster the core points. The experimental results show that DBELG achieves better performance than existing methods in handling datasets with fuzzy boundaries and complex structures.作者: originality 時(shí)間: 2025-3-28 11:01
Modelling Zeros in?Blockmodellingoise or Jaccard noise. Experiments performed on simulated data show that when no noise is present, the accuracy is independent of the choice of metric. But when noise is introduced, high accuracy results are obtained when the choice of metric matches the type of noise.作者: BOOST 時(shí)間: 2025-3-28 18:06 作者: 欺騙手段 時(shí)間: 2025-3-28 21:53
0302-9743 ly reviewed and selected from a total of 558 submissions. They were organized in topical sections as follows:..Part I: Data Science and Big Data Technologies, Part II: Foundations; and Part III: Applications..978-3-031-05935-3978-3-031-05936-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Ringworm 時(shí)間: 2025-3-29 01:59 作者: 史前 時(shí)間: 2025-3-29 03:24 作者: gusher 時(shí)間: 2025-3-29 09:18 作者: VAN 時(shí)間: 2025-3-29 12:00
Effect of?Different Encodings and?Distance Functions on?Quantum Instance-Based Classifiers and their effect on the performance. We show that, with certain data preparation strategies, quantum algorithms are comparable with the classic version, yet allowing for a theoretical reduction of the complexity for distances calculation.作者: CRP743 時(shí)間: 2025-3-29 19:19 作者: Liability 時(shí)間: 2025-3-29 22:50
Hypersphere Neighborhood Rough Set for?Rapid Attribute Reductioning of the NRS algorithm for radius optimization. Third, according to the change of objects within the positive region, the redundant attributes can be reduced efficiently. Experimental results show that HNRS outperforms state-of-the-art attribute reduction methods in terms of both efficiency and classification accuracy.作者: 不滿分子 時(shí)間: 2025-3-30 01:25 作者: dyspareunia 時(shí)間: 2025-3-30 05:43 作者: Collar 時(shí)間: 2025-3-30 12:06
Convergence and Applications of ADMM on the Multi-convex Problems, delivering an impressive performance in areas such as nonnegative matrix factorization and sparse dictionary learning, there remains a dearth of generic work on proposed ADMM with a convergence guarantee under mild conditions. In this paper, we propose a generic ADMM framework with multiple couple作者: Mercantile 時(shí)間: 2025-3-30 14:05 作者: 現(xiàn)實(shí) 時(shí)間: 2025-3-30 19:15
Quantum Entanglement Inspired Correlation Learning for?Classificationion between quantum entangled systems often surpasses that between classical systems, quantum information processing methods show superiority that classical methods do not possess. In this paper, we study the virtue of entangled systems and propose a novel classification algorithm called Quantum Ent作者: 的是兄弟 時(shí)間: 2025-3-30 23:05 作者: NATTY 時(shí)間: 2025-3-31 04:15
Uniform Evaluation of?Properties in?Activity Recognition AR is durative and can be correct in a period and incorrect in another one. Therefore, it is fundamental to extend the correctness vocabulary and to formalize a new evaluation system including these extensions. Even in similar areas, few empirical attempts are proposed which are confronted with the作者: photophobia 時(shí)間: 2025-3-31 06:41
Effect of?Different Encodings and?Distance Functions on?Quantum Instance-Based Classifiersng, a paradigm for computing making use of quantum theory. Quantum computing can empower machine learning with theoretical properties allowing to overcome the limitations of classical computing. The translation of classical algorithms into their quantum counter-part is not trivial and hides many dif作者: 不遵守 時(shí)間: 2025-3-31 10:35
Attention-to-Embedding Framework for?Multi-instance Learningere learning objects are bags containing various numbers of instances. Two key issues of this work are to extract relevant information by determining the relationship between the bag and its instances, and to embed the bag into a new feature space. To respond to these problems, a network with the po作者: Diatribe 時(shí)間: 2025-3-31 17:15
Multi-instance Embedding Learning Through High-level Instance Selection instance selection transform bags into a single-instance space. However, they may select weak representative instances due to the ignorance of the internal bag structure. In this paper, we propose the multi-instance embedding learning through high-level instance selection (MIHI) algorithm with two 作者: 最小 時(shí)間: 2025-3-31 18:43
High Average-Utility Itemset Sampling Under Length Constraints widely demonstrated in many real world applications. The traditional algorithms return the set of all patterns with a utility above a minimum utility threshold which is difficult to fix, while top-k algorithms tend to lack of diversity in the produced patterns. We propose an algorithm named . to sa作者: 鞭打 時(shí)間: 2025-3-31 22:28
Divide and?Imitate: Multi-cluster Identification and?Mitigation of?Selection Biasing data is biased, however, that bias will be transferred to the model and remains undetected as the performance is validated on a test set drawn from the same biased distribution. Existing strategies for selection bias identification and mitigation generally rely on some sort of knowledge of the b作者: STANT 時(shí)間: 2025-4-1 02:42
Hypersphere Neighborhood Rough Set for?Rapid Attribute Reduction at least .. In this paper, we propose a hypersphere neighborhood rough set (HNRS) algorithm with a time complexity of .(.). HNRS adaptively generates the neighborhood radius without manual setting. First, a set of hyperspheres is built to accurately describe the decision boundary on the original da作者: RECUR 時(shí)間: 2025-4-1 08:48
A Novel Clustering Algorithm with?Dynamic Boundary Extraction Strategy Based on?Local Gravitationhods have received increasing attention. However, discovering arbitrarily shaped clusters, determining the location and number of clustering cores and dealing with fuzzy boundaries is tough for most algorithms. We propose a novel clustering algorithm with dynamic boundary extraction strategy based o
