Abstract is missing.
- Mining Billion-node Graphs: Patterns, Generators and ToolsChristos Faloutsos. 5 [doi]
- Assessing the Significance of Groups in High-Dimensional DataGeoffrey J. McLachlan. 6 [doi]
- 10 Years of Data Mining Research: Retrospect and ProspectXindong Wu. 7 [doi]
- Detecting Novel Discrepancies in Communication NetworksJames Abello, Tina Eliassi-Rad, Nishchal Devanur. 8-17 [doi]
- Multi-agent Random Walks for Local Clustering on GraphsMorteza Alamgir, Ulrike von Luxburg. 18-27 [doi]
- Spatiotemporal Event Detection in Mobility NetworkTom S. Au, Rong Duan, Heeyoung Kim, Guang-Qin Ma. 28-37 [doi]
- An Unsupervised Approach to Modeling Personalized Contexts of Mobile UsersTengfei Bao, Happia Cao, Enhong Chen, Jilei Tian, Hui Xiong. 38-47 [doi]
- Fast and Flexible Multivariate Time Series Subsequence SearchKanishka Bhaduri, Qiang Zhu 0002, Nikunj C. Oza, Ashok N. Srivastava. 48-57 [doi]
- iSAX 2.0: Indexing and Mining One Billion Time SeriesAlessandro Camerra, Themis Palpanas, Jin Shieh, Eamonn J. Keogh. 58-67 [doi]
- Abstraction Augmented Markov ModelsCornelia Caragea, Adrian Silvescu, Doina Caragea, Vasant Honavar. 68-77 [doi]
- A Graph-Based Approach for Multi-folder Email ClassificationSharma Chakravarthy, Aravind Venkatachalam, Aditya Telang. 78-87 [doi]
- Scalable Influence Maximization in Social Networks under the Linear Threshold ModelWei Chen 0013, Yifei Yuan, Li Zhang 0001. 88-97 [doi]
- CLUSMASTER: A Clustering Approach for Sampling Data Streams in Sensor NetworksAlzennyr Da Silva, Raja Chiky, Georges Hébrail. 98-107 [doi]
- Bayesian Maximum Margin ClusteringBo Dai, BaoGang Hu, Gang Niu. 108-117 [doi]
- Viral Marketing for Multiple ProductsSamik Datta, Anirban Majumder, Nisheeth Shrivastava. 118-127 [doi]
- Finding Local Anomalies in Very High Dimensional SpaceTimothy De Vries, Sanjay Chawla, Michael E. Houle. 128-137 [doi]
- PGLCM: Efficient Parallel Mining of Closed Frequent Gradual ItemsetsTrong Dinh Thac Do, Anne Laurent, Alexandre Termier. 138-147 [doi]
- Sequential Latent Dirichlet Allocation: Discover Underlying Topic Structures within a DocumentLan Du, Wray Lindsay Buntine, Huidong Jin. 148-157 [doi]
- Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining ApproachWouter Duivesteijn, Arno J. Knobbe, Ad Feelders, Matthijs van Leeuwen. 158-167 [doi]
- Feature Selection for Unsupervised Learning Using Random Cluster EnsemblesHaytham Elghazel, Alex Aussem. 168-175 [doi]
- Learning Attribute-to-Feature Mappings for Cold-Start RecommendationsZeno Gantner, Lucas Drumond, Christoph Freudenthaler, Steffen Rendle, Lars Schmidt-Thieme. 176-185 [doi]
- An Extensive Empirical Study on Semi-supervised LearningYuanyuan Guo, Xiaoda Niu, Harry Zhang. 186-195 [doi]
- Efficient Discovery of the Top-K Optimal Dependency Rules with Fisher's Exact Test of SignificanceWilhelmiina Hamalainen. 196-205 [doi]
- A Variance Reduction Framework for Stable Feature SelectionYue Han, Lei Yu. 206-215 [doi]
- Exponential Family Tensor Factorization for Missing-Values Prediction and Anomaly DetectionKohei Hayashi, Takashi Takenouchi, Tomohiro Shibata, Yuki Kamiya, Daishi Kato, Kazuo Kunieda, Keiji Yamada, Kazushi Ikeda. 216-225 [doi]
- Rare Category CharacterizationJingrui He, Hanghang Tong, Jaime G. Carbonell. 226-235 [doi]
- Algorithm for Discovering Low-Variance 3-Clusters from Real-Valued DatasetsZhen Hu, Raj Bhatnagar. 236-245 [doi]
- Improved Consistent Sampling, Weighted Minhash and L1 SketchingSergey Ioffe. 246-255 [doi]
- An Approach Based on Tree Kernels for Opinion Mining of Online Product ReviewsPeng Jiang, Chunxia Zhang, Hongping Fu, Zhendong Niu, Qing Yang. 256-265 [doi]
- A Pairwise-Systematic Microaggregation for Statistical Disclosure ControlMd. Enamul Kabir, Hua Wang, Yanchun Zhang. 266-273 [doi]
- Multi-label Feature Selection for Graph ClassificationXiangnan Kong, Philip S. Yu. 274-283 [doi]
- A Binary Decision Diagram-Based One-Class ClassifierTakuro Kutsuna. 284-293 [doi]
- Detecting Blackhole and Volcano Patterns in Directed NetworksZhongmou Li, Hui Xiong, Yanchi Liu, Aoying Zhou. 294-303 [doi]
- Exploiting Local Data Uncertainty to Boost Global Outlier DetectionBo Liu, Jie Yin, Yanshan Xiao, Longbing Cao, Philip S. Yu. 304-313 [doi]
- Training Conditional Random Fields Using Transfer Learning for Gesture RecognitionJie Liu, Kai Yu, Yi Zhang, Yalou Huang. 314-323 [doi]
- Stratified Sampling for Data Mining on the Deep WebTantan Liu, Fan Wang, Gagan Agrawal. 324-333 [doi]
- Learning Markov Network Structure with Decision TreesDaniel Lowd, Jesse Davis. 334-343 [doi]
- Towards Structural Sparsity: An Explicit l2/l0 ApproachDijun Luo, Chris H. Q. Ding, Heng Huang. 344-353 [doi]
- Multi-document Summarization Using Minimum DistortionTengfei Ma, Xiaojun Wan. 354-363 [doi]
- A Log-Linear Model with Latent Features for Dyadic PredictionAditya Krishna Menon, Charles Elkan. 364-373 [doi]
- Edge Weight Regularization over Multiple Graphs for Similarity LearningPradeep Muthukrishnan, Dragomir R. Radev, Qiaozhu Mei. 374-383 [doi]
- A New SVM Approach to Multi-instance Multi-label LearningNam Nguyen. 384-392 [doi]
- Bayesian Aggregation of Binary ClassifiersSunHo Park, Seungjin Choi. 393-402 [doi]
- Permutations as Angular Data: Efficient Inference in Factorial SpacesSergey M. Plis, Terran Lane, Vince D. Calhoun. 403-410 [doi]
- Separation of Interleaved Web Sessions with Heuristic SearchMarko Pozenel, Viljan Mahnic, Matjaz Kukar. 411-420 [doi]
- Consequences of Variability in Classifier Performance EstimatesTroy Raeder, T. Ryan Hoens, Nitesh V. Chawla. 421-430 [doi]
- Mining Sensor Streams for Discovering Human Activity Patterns over TimeParisa Rashidi, Diane J. Cook. 431-440 [doi]
- Decision Trees for Uplift ModelingPiotr Rzepakowski, Szymon Jaroszewicz. 441-450 [doi]
- Co-clustering of Lagged DataEran Shaham, David Sarne, Boaz Ben-Moshe. 451-460 [doi]
- Polishing the Right Apple: Anytime Classification Also Benefits Data Streams with Constant Arrival TimesJin Shieh, Eamonn J. Keogh. 461-470 [doi]
- Discovering Correlated Subspace Clusters in 3D Continuous-Valued DataKelvin Sim, Zeyar Aung, Vivekanand Gopalkrishnan. 471-480 [doi]
- gSkeletonClu: Density-Based Network Clustering via Structure-Connected Tree Division or AgglomerationHeli Sun, Jianbin Huang, Jiawei Han, Hongbo Deng, Peixiang Zhao, Boqin Feng. 481-490 [doi]
- LogTree: A Framework for Generating System Events from Raw Textual LogsLiang Tang, Tao Li. 491-500 [doi]
- Mining Closed Strict EpisodesNikolaj Tatti, Boris Cule. 501-510 [doi]
- Multi-dimensional Mass Estimation and Mass-based ClusteringKai Ming Ting, Jonathan R. Wells. 511-520 [doi]
- minCEntropy: A Novel Information Theoretic Approach for the Generation of Alternative ClusteringsXuan Vinh Nguyen, Julien Epps. 521-530 [doi]
- A Conscience On-line Learning Approach for Kernel-Based ClusteringChang-Dong Wang, Jian-Huang Lai, Jun-Yong Zhu. 531-540 [doi]
- Weighted Feature Subset Non-negative Matrix Factorization and Its Applications to Document UnderstandingDingding Wang, Tao Li, Chris H. Q. Ding. 541-550 [doi]
- Learning a Bi-Stochastic Data Similarity MatrixFei Wang, Ping Li, Arnd Christian König. 551-560 [doi]
- Active Spectral ClusteringXiang Wang, Ian Davidson. 561-568 [doi]
- Discovering Overlapping Groups in Social MediaXufei Wang, Lei Tang, Huiji Gao, Huan Liu. 569-578 [doi]
- Adaptive Distances on Sets of VectorsAdam Woznica, Alexandros Kalousis. 579-588 [doi]
- SMILE: A Similarity-Based Approach for Multiple Instance LearningYanshan Xiao, Bo Liu, Longbing Cao, Jie Yin, Xindong Wu. 589-598 [doi]
- Modeling Information Diffusion in Implicit NetworksJaewon Yang, Jure Leskovec. 599-608 [doi]
- Term Filtering with Bounded ErrorZi Yang, Wei Li, Jie Tang, Juanzi Li. 609-618 [doi]
- Exploiting Unlabeled Data to Enhance Ensemble DiversityMin-Ling Zhang, Zhi-Hua Zhou. 619-628 [doi]
- Constraint Based Dimension Correlation and Distance Divergence for Clustering High-Dimensional DataXianchao Zhang, Yao Wu, Yang Qiu. 629-638 [doi]
- Active Learning from Multiple Noisy Labelers with Varied CostsYaling Zheng, Stephen D. Scott, Kun Deng. 639-648 [doi]
- A Novel Contrast Co-learning Framework for Generating High Quality Training DataZeyu Zheng, Jun Yan, Shuicheng Yan, Ning Liu, Zheng Chen, Ming Zhang. 649-658 [doi]
- Network Simplification with Minimal Loss of ConnectivityFang Zhou, Sébastien Mahler, Hannu Toivonen. 659-668 [doi]
- Improving Kernel Methods through Complex Data MappingHang Zhou, Fabio T. Ramos, Eric Nettleton. 669-678 [doi]
- NESVM: A Fast Gradient Method for Support Vector MachinesTianyi Zhou, Dacheng Tao, Xindong Wu. 679-688 [doi]
- Clustering Large Attributed Graphs: An Efficient Incremental ApproachYang Zhou, Hong Cheng, Jeffrey Xu Yu. 689-698 [doi]
- Mother Fugger: Mining Historical Manuscripts with Local Color PatchesQiang Zhu 0002, Eamonn J. Keogh. 699-708 [doi]
- D-LDA: A Topic Modeling Approach without Constraint Generation for Semi-defined ClassificationFuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi. 709-718 [doi]
- SONNET: Efficient Approximate Nearest Neighbor Using Multi-coreMohammad Al Hasan, Hilmi Yildirim, Abhirup Chakraborty. 719-724 [doi]
- Two of a Kind or the Ratings Game? Adaptive Pairwise Preferences and Latent Factor ModelsSuhrid Balakrishnan, Sumit Chopra. 725-730 [doi]
- Document Similarity Self-Join with MapReduceRanieri Baraglia, Gianmarco De Francisci Morales, Claudio Lucchese. 731-736 [doi]
- Quantification via Probability EstimatorsAntonio Bella, César Ferri, José Hernández-Orallo, M. José Ramírez-Quintana. 737-742 [doi]
- Learning Collaborative Filtering and Its Application to People to People Recommendation in Social NetworksXiongcai Cai, Michael Bain, Alfred Krzywicki, Wayne Wobcke, Yang Sok Kim, Paul Compton, Ashesh Mahidadia. 743-748 [doi]
- Approximation of Frequentness Probability of Itemsets in Uncertain DataToon Calders, Calin Garboni, Bart Goethals. 749-754 [doi]
- Active Improvement of Hierarchical Object Features under Budget ConstraintsNicolas Cebron. 761-766 [doi]
- Pseudo Conditional Random Fields: Joint Training Approach to Segmenting and Labeling Sequence DataShing-Kit Chan, Wai Lam. 767-772 [doi]
- Location and Scatter Matching for Dataset Shift in Text MiningBo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong. 773-778 [doi]
- Learning Preferences with Millions of Parameters by Enforcing SparsityXi Chen, Bing Bai, Yanjun Qi, Qihang Lin, Jaime G. Carbonell. 779-784 [doi]
- QMAS: Querying, Mining and Summarization of Multi-modal DatabasesRobson Leonardo Ferreira Cordeiro, Fan Guo, Donna S. Haverkamp, James H. Horne, Ellen K. Hughes, Gunhee Kim, Agma J. M. Traina, Caetano Traina Jr., Christos Faloutsos. 785-790 [doi]
- Block-GP: Scalable Gaussian Process Regression for Multimodal DataKamalika Das, Ashok N. Srivastava. 791-796 [doi]
- Active Learning with Human-Like Noisy OracleJun Du, Charles X. Ling. 797-802 [doi]
- Monotone Relabeling in Ordinal ClassificationAd Feelders. 803-808 [doi]
- The Effect of History on Modeling Systems Performance: The Problem of the Demanding LordGeorge Giannakopoulos, Themis Palpanas. 809-814 [doi]
- Resilient K-d Trees: K-Means in Space RevisitedFabian Gieseke, Gabriel Moruz, Jan Vahrenhold. 815-820 [doi]
- Advertising Campaigns Management: Should We Be Greedy?Sertan Girgin, Jérémie Mary, Philippe Preux, Olivier Nicol. 821-826 [doi]
- Accelerating Radius-Margin Parameter Selection for SVMs Using Geometric BoundsBen Goodrich, David W. Albrecht, Peter E. Tischer. 827-832 [doi]
- Enhancing Single-Objective Projective Clustering EnsemblesFrancesco Gullo, Carlotta Domeniconi, Andrea Tagarelli. 833-838 [doi]
- Minimizing the Variance of Cluster Mixture Models for Clustering Uncertain ObjectsFrancesco Gullo, Giovanni Ponti, Andrea Tagarelli. 839-844 [doi]
- Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two ParadigmsStephan Günnemann, Ines Färber, Brigitte Boden, Thomas Seidl. 845-850 [doi]
- Multi-stream Join Answering for Mining Significant Cross-Stream CorrelationsRobert Gwadera. 851-856 [doi]
- Category Mining by Heterogeneous Data Fusion Using PdLSI Model in a Retail ServiceTsukasa Ishigaki, Takeshi Takenaka, Yoichi Motomura. 857-862 [doi]
- Content-Based Methods for Predicting Web-Site Demographic AttributesSantosh Kabbur, Eui-Hong Han, George Karypis. 863-868 [doi]
- Discrimination Aware Decision Tree LearningFaisal Kamiran, Toon Calders, Mykola Pechenizkiy. 869-874 [doi]
- Patterns on the Connected Components of Terabyte-Scale GraphsU. Kang, Mary McGlohon, Leman Akoglu, Christos Faloutsos. 875-880 [doi]
- Attribution of Conversion Events to Multi-channel MediaBrendan Kitts, Liang Wei, Dyng Au, Amanda Powter, Brian Burdick. 881-886 [doi]
- Mining Public Transport Usage for Personalised Intelligent Transport SystemsNeal Lathia, Jon Froehlich, Licia Capra. 887-892 [doi]
- Micro-blogging Sentiment Detection by Collaborative Online LearningGuangxia Li, Steven C. H. Hoi, Kuiyu Chang, Ramesh Jain. 893-898 [doi]
- Enforcing Vocabulary k-Anonymity by Semantic Similarity Based ClusteringJunqiang Liu, Ke Wang. 899-904 [doi]
- Efficient Probabilistic Latent Semantic Analysis with Sparsity ControlSen Liu, Chaolun Xia, Xiaohong Jiang. 905-910 [doi]
- Understanding of Internal Clustering Validation MeasuresYanchi Liu, Zhongmou Li, Hui Xiong, Xuedong Gao, Junjie Wu. 911-916 [doi]
- Transfer Learning via Cluster Correspondence InferenceMingsheng Long, Wei Cheng, Xiaoming Jin, Jianmin Wang 0001, Dou Shen. 917-922 [doi]
- Supervised Link Prediction Using Multiple SourcesZhengdong Lu, Berkant Savas, Wei Tang, Inderjit S. Dhillon. 923-928 [doi]
- Addressing Concept-Evolution in Concept-Drifting Data StreamsMohammad M. Masud, Qing Chen, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Bhavani M. Thuraisingham. 929-934 [doi]
- Sparse Boolean Matrix FactorizationsPauli Miettinen. 935-940 [doi]
- On the Computation of Stochastic Search Variable Selection in Linear Regression with UDFsMario Navas, Carlos Ordonez, Veerabhadran Baladandayuthapani. 941-946 [doi]
- Data Editing Techniques to Allow the Application of Distance-Based Outlier Detection to StreamsVit Niennattrakul, Eamonn J. Keogh, Chotirat Ann Ratanamahatana. 947-952 [doi]
- Anomaly Detection Using an Ensemble of Feature ModelsKeith Noto, Carla E. Brodley, Donna K. Slonim. 953-958 [doi]
- Assessing Data Mining Results on Matrices with RandomizationMarkus Ojala. 959-964 [doi]
- A Generalized Linear Threshold Model for Multiple CascadesNishith Pathak, Arindam Banerjee, Jaideep Srivastava. 965-970 [doi]
- Recommending Social Events from Mobile Phone Location DataDaniele Quercia, Neal Lathia, Francesco Calabrese, Giusy Di Lorenzo, Jon Crowcroft. 971-976 [doi]
- On Normalizing Fuzzy Coincidence Matrices to Compare Fuzzy and/or Possibilistic Partitions with the Rand IndexR. Quere, Hoel Le Capitaine, N. Fraisseix, Carl Frélicot. 977-982 [doi]
- Financial Forecasting with Gompertz Multiple Kernel LearningHan Qin, Dejing Dou, Yue Fang. 983-988 [doi]
- Leveraging D-Separation for Relational Data SetsMatthew J. Rattigan, David Jensen. 989-994 [doi]
- Factorization MachinesSteffen Rendle. 995-1000 [doi]
- Accelerating Dynamic Time Warping Subsequence Search with GPUs and FPGAsDoruk Sart, Abdullah Mueen, Walid A. Najjar, Eamonn J. Keogh, Vit Niennattrakul. 1001-1006 [doi]
- An Approach for Automatic Sleep Stage Scoring and Apnea-Hypopnea DetectionTim Schlüter, Stefan Conrad. 1007-1012 [doi]
- Bonsai: Growing Interesting Small TreesStephan Seufert, Srikanta J. Bedathur, Julián Mestre, Gerhard Weikum. 1013-1018 [doi]
- Mixed-Membership Stochastic Block-Models for Transactional NetworksMahdi Shafiei, Hugh A. Chipman. 1019-1024 [doi]
- Generalized Probabilistic Matrix Factorizations for Collaborative FilteringHanhuai Shan, Arindam Banerjee. 1025-1030 [doi]
- Topic Modeling EnsemblesZhiyong Shen, Ping Luo, ShengWen Yang, Xukun Shen. 1031-1036 [doi]
- Interval-valued Matrix Factorization with ApplicationsZhiyong Shen, Liang Du, Xukun Shen, Yi-Dong Shen. 1037-1042 [doi]
- Efficient Semi-supervised Spectral Co-clustering with ConstraintsXiaoxiao Shi, Wei Fan, Philip S. Yu. 1043-1048 [doi]
- Transfer Learning on Heterogenous Feature Spaces via Spectral TransformationXiaoxiao Shi, Qi Liu, Wei Fan, Philip S. Yu, Ruixin Zhu. 1049-1054 [doi]
- One-Class Matrix Completion with Low-Density FactorizationsVikas Sindhwani, Serhat Selcuk Bucak, Jianying Hu, Aleksandra Mojsilovic. 1055-1060 [doi]
- A System for Mining Temporal Physiological Data Streams for Advanced Prognostic Decision SupportJimeng Sun, Daby Sow, Jianying Hu, Shahram Ebadollahi. 1061-1066 [doi]
- Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust, and Fast Training MethodXu Sun, Hisashi Kashima, Takuya Matsuzaki, Naonori Ueda. 1067-1072 [doi]
- Visualizing Graphs Using Minimum Spanning DendrogramsDaniel Svonava, Michail Vlachos. 1073-1078 [doi]
- Tru-Alarm: Trustworthiness Analysis of Sensor Networks in Cyber-Physical SystemsLu-An Tang, Xiao Yu, Sangkyum Kim, Jiawei Han, Chih-Chieh Hung, Wen-Chih Peng. 1079-1084 [doi]
- Node Similarities from Spreading ActivationKilian Thiel, Michael R. Berthold. 1085-1090 [doi]
- On the Vulnerability of Large GraphsHanghang Tong, B. Aditya Prakash, Charalampos E. Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos, Duen Horng Chau. 1091-1096 [doi]
- Testing the Significance of Patterns in Data with Cluster StructureNiko Vuokko, Petteri Kaski. 1097-1102 [doi]
- Compressed Nonnegative Sparse CodingFei Wang, Ping Li. 1103-1108 [doi]
- Anonymizing Temporal DataKe Wang, Yabo Xu, Raymond Chi-Wing Wong, Ada Wai-Chee Fu. 1109-1114 [doi]
- Homotopy Regularization for BoostingZheng Wang, Yangqiu Song, Changshui Zhang. 1115-1120 [doi]
- What Do People Want in Microblogs? Measuring Interestingness of Hashtags in TwitterJianshu Weng, Ee-Peng Lim, Qi He, Cane Wing-ki Leung. 1121-1126 [doi]
- Probabilistic Inference Protection on Anonymized DataRaymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Yabo Xu, Jian Pei, Philip S. Yu. 1127-1132 [doi]
- Collaborative Learning between Visual Content and Hidden Semantic for Image RetrievalJun Wu, Mingyu Lu, Chun-Li Wang. 1133-1138 [doi]
- Max-Clique: A Top-Down Graph-Based Approach to Frequent Pattern MiningYan Xie, Philip S. Yu. 1139-1144 [doi]
- Personalizing Web Page Recommendation via Collaborative Filtering and Topic-Aware Markov ModelQingyan Yang, Ju Fan, Jianyong Wang, Lizhu Zhou. 1145-1150 [doi]
- Passive Sampling for RegressionHwanjo Yu, SungChul Kim. 1151-1156 [doi]
- Modeling Experts and Novices in Citizen Science Data for Species Distribution ModelingJun Yu, Weng-Keen Wong, Rebecca A. Hutchinson. 1157-1162 [doi]
- Causal Discovery from Streaming FeaturesKui Yu, Xindong Wu, Hao Wang, Wei Ding. 1163-1168 [doi]
- ABS: The Anti Bouncing Model for Usage Data StreamsChongsheng Zhang, Florent Masseglia, Yves Lechevallier. 1169-1174 [doi]
- Classifier and Cluster Ensembles for Mining Concept Drifting Data StreamsPeng Zhang, Xingquan Zhu, Jianlong Tan, Li Guo. 1175-1180 [doi]
- Graph-Based Semi-supervised Learning with Adaptive Similarity EstimationXianchao Zhang, Yansheng Jiang, Wenxin Liang, Xin Han. 1181-1186 [doi]
- K-AP: Generating Specified K Clusters by Efficient Affinity PropagationXiangliang Zhang, Wei Wang 0012, Kjetil Nørvåg, Michèle Sebag. 1187-1192 [doi]
- MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph ModelYuan Zhang, Jie Tang, Jimeng Sun, Yiran Chen, Jinghai Rao. 1193-1198 [doi]
- Hierarchical Ensemble ClusteringLi Zheng, Tao Li, Chris H. Q. Ding. 1199-1204 [doi]
- Frequent Instruction Sequential Pattern Mining in Hardware Sample DataJia Zou, Jing Xiao, Rui Hou, Yanqi Wang. 1205-1210 [doi]
- Efficient Episode Mining with Minimal and Non-overlapping OccurrencesHuisheng Zhu, Peng Wang, Xianmang He, Yujia Li, Wei Wang 0009, Baile Shi. 1211-1216 [doi]
- Spatial and Spatio-temporal Data MiningVania Bogorny, Shashi Shekhar. 1217 [doi]
- Knowledge Discovery in Academic Drug Discovery Programs: Opportunities and ChallengesJun Huan. 1218 [doi]
- Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the DataEmmanuel Müller, Stephan Günnemann, Ines Färber, Thomas Seidl. 1220 [doi]