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ORCID12. MLDM 2016: New York, NY, USA
- Petra Perner:
Machine Learning and Data Mining in Pattern Recognition - 12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, Proceedings. Lecture Notes in Computer Science 9729, Springer 2016, ISBN 978-3-319-41919-0 - Robert E. Marmelstein, Alexander L. Hunt, Christoper Eroh:
Evolving a Low Price Recovery Strategy for Distressed Securities. 1-14 - Yuan Wang, Xiaochun Wang, Xia Li Wang:
A Spectral Clustering Based Outlier Detection Technique. 15-27 - Turki Turki
, William Bassett, Jason T. L. Wang:
A Learning Framework to Improve Unsupervised Gene Network Inference. 28-42 - Nour El Islem Karabadji, Sabeur Aridhi, Hassina Seridi:
A Closed Frequent Subgraph Mining Algorithm in Unique Edge Label Graphs. 43-57 - Vinh-Trung Luu, Mathis Ripken, Germain Forestier, Frédéric Fondement, Pierre-Alain Muller:
Using Glocal Event Alignment for Comparing Sequences of Significantly Different Lengths. 58-72 - Babak Khosravifar, Mohamed Bouguessa:
Using Support Vector Machines for Intelligent Service Agents Decision Making. 73-87 - Kiran Rama, Shashank Shekhar, John Kiran, K. Raghava Rau, Sam Pritchett, Anit Bhandari, Parag Chitalia:
List Price Optimization Using Customized Decision Trees. 88-97 - Daniel Braun, Michael Singhof, Stefan Conrad:
AdaMS: Adaptive Mountain Silhouette Extraction from Images. 98-112 - Loai AbdAllah, Ilan Shimshoni:
K-Means over Incomplete Datasets Using Mean Euclidean Distance. 113-127 - Zeev Volkovich:
A Time Series Model of the Writing Process. 128-142 - Hasanein Alharbi, Mohamad Saraee:
Semantic Aware Bayesian Network Model for Actionable Knowledge Discovery in Linked Data. 143-154 - Vladimir Nikulin:
Driving Style Identification with Unsupervised Learning. 155-169 - Ilias Gialampoukidis, Stefanos Vrochidis, Ioannis Kompatsiaris:
A Hybrid Framework for News Clustering Based on the DBSCAN-Martingale and LDA. 170-184 - Nahla H. Barakat:
Diagnosis of Metabolic Syndrome: A Diversity Based Hybrid Model. 185-198 - Philippe Fournier-Viger, Souleymane Zida, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng:
EFIM-Closed: Fast and Memory Efficient Discovery of Closed High-Utility Itemsets. 199-213 - Vincent Brault, Julien Chiquet, Céline Lévy-Leduc:
Fast Detection of Block Boundaries in Block-Wise Constant Matrices. 214-228 - Yu Zhang, Tse-Chuan Yang, Stephen A. Matthews:
Inferring Censored Geo-Information with Non-Representative Data. 229-235 - Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong:
Efficient Mining of Weighted Frequent Itemsets in Uncertain Databases. 236-250 - Sk. Minhazul Islam, Arunava Banerjee:
Automatic Detection of Latent Common Clusters of Groups in MultiGroup Regression. 251-266 - Atta Muhammad, Sher Muhammad Daudpota:
Content Based Identification of Talk Show Videos Using Audio Visual Features. 267-283 - Carlos Roberto Silveira Junior, Marcela Xavier Ribeiro, Marilde Terezinha Prado Santos:
IncMSTS-PP: An Algorithm to the Incremental Extraction of Significant Sequences from Environmental Sensor Data. 284-293 - Daoyuan Li, Li Li, Tegawendé F. Bissyandé, Jacques Klein, Yves Le Traon:
DSCo: A Language Modeling Approach for Time Series Classification. 294-310 - Alexander P. Kuleshov, Alexander V. Bernstein:
Statistical Learning on Manifold-Valued Data. 311-325 - Ahmed Aljuboori, Farid Meziane, David Parsons:
A New Strategy for Case-Based Reasoning Retrieval Using Classification Based on Association. 326-340 - Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang:
Tracking Communities over Time in Dynamic Social Network. 341-345 - Darshan Iyer, Fahim Mohammad, Yuan Guo, Ebrahim Al Safadi, Benjamin J. Smiley, Zhiqiang Liang, Nilesh K. Jain:
Generalized Hand Gesture Recognition for Wearable Devices in IoT: Application and Implementation Challenges. 346-355 - Ferhat Özçep, Eray Yildirim, Okan Tezel, Metin Asçi, Savas Karabulut, Tazegül Özçep:
A Review on Artificial Intelligence Based Parameter Forecasting for Soil-Water Content. 356-361 - Mina Abdel-Sayed, Daniel Duclos, Gilles Faÿ, Jérôme Lacaille, Mathilde Mougeot:
Dictionary Comparison for Anomaly Detection on Aircraft Engine Spectrograms. 362-376 - Satish Kumar Verma:
Location-Aware Ad Recommendation to Bid for Impressions. 377-386 - Nima Shahbazi, Rohollah Soltani, Jarek Gryz, Aijun An:
Building FP-Tree on the Fly: Single-Pass Frequent Itemset Mining. 387-400 - Masako Matsumoto, Yu Fujimoto, Yasuhiro Hayashi:
Energy Disaggregation Based on Semi-Binary NMF. 401-414 - Qiang You, Ou Wu, Guan Luo, Weiming Hu:
A Probabilistic Matrix Factorization Method for Link Sign Prediction in Social Networks. 415-420 - Qiang You, Ou Wu, Guan Luo, Weiming Hu:
Metadata-Based Clustered Multi-task Learning for Thread Mining in Web Communities. 421-434 - Roman A. Sizov, Dan A. Simovici:
On Genetic Algorithms for Detecting Frequent Item Sets And Large Bite Sets. 435-445 - B. M. Thamali Lekamge, Arcot Sowmya, Janet Newman:
Multi-view Learning for Classification of X-Ray Crystallography Images. 446-458 - Van-Sang Ha, Ha-Nam Nguyen:
C-KPCA: Custom Kernel PCA for Cancer Classification. 459-467 - Jayati Deshmukh, K. M. Annervaz, Shubhashis Sengupta, Neetu Pathak:
LiveDoc: Showing Contextual Information Using Topic Modeling Techniques. 468-482 - Saeed Sedighi, Mehdi Roopaei, Sos S. Agaian:
Genetic-Based Thresholds for Multi Histogram Equalization Image Enhancement. 483-490 - Francky Fouedjio:
A Clustering Approach for Discovering Intrinsic Clusters in Multivariate Geostatistical Data. 491-500 - Jordi Pérez-Romero, Juan Sánchez-González, Oriol Sallent, Ramón Agustí:
On Learning and Exploiting Time Domain Traffic Patterns in Cellular Radio Access Networks. 501-515 - Kumar Dheenadayalan, G. Srinivasaraghavan, V. N. Muralidhara:
Pruning a Random Forest by Learning a Learning Algorithm. 516-529 - Fatih Akdag, Christoph F. Eick:
Interestingness Hotspot Discovery in Spatial Datasets Using a Graph-Based Approach. 530-544 - Johannes Fliege, Wolfgang Benn:
MapReduce-Based Growing Neural Gas for Scalable Cluster Environments. 545-559 - Thanapat Kangkachit, Kitsana Waiyamai:
Comprehensible Enzyme Function Classification Using Reactive Motifs with Negative Patterns. 560-568 - Yoshiaki Okubo, Makoto Haraguchi, Etsuji Tomita:
Enumerating Maximal Isolated Cliques Based on Vertex-Dependent Connection Lower Bound. 569-583 - Kumar Dheenadayalan, V. N. Muralidhara, G. Srinivasaraghavan:
Simulator Prototyping Through Graphical Dependency Modeling. 584-598 - Shruti Kaushik, Abhinav Choudhury, Kaustubh Mallik, Anzer Moid, Varun Dutt:
Applying Data Mining to Healthcare: A Study of Social Network of Physicians and Patient Journeys. 599-613 - Pavel A. Turkov, Olga Krasotkina, Vadim Mottl, Alexey Sychugov:
Feature Selection for Handling Concept Drift in the Data Stream Classification. 614-629 - V. Susheela Devi, Bhupesh Akhand:
Feature Reduction for Multi Label Classification of Discrete Data. 630-642 - Zequn Jie, Wen Feng Lu, Francis Eng Hock Tay:
Accurate On-Road Vehicle Detection with Deep Fully Convolutional Networks. 643-658 - Mina Sheikhalishahi, Mohamed Mejri, Nadia Tawbi:
On the Abstraction of a Categorical Clustering Algorithm. 659-675 - Naeimeh Laleh, Barbara Carminati, Elena Ferrari, Sarunas Girdzijauskas:
Gossip-Based Behavioral Group Identification in Decentralized OSNs. 676-691 - Tuhin Sharma, Durga Toshniwal:
A Generalized Framework for Quantifying Trust of Social Media Text Documents. 692-713 - T. M. Shahriar Sazzad, Leisa J. Armstrong, Amiya Kumar Tripathy:
A Comprehensive Analysis: Automated Ovarian Tissue Detection Using Type P63 Pathology Color Images. 714-727 - Petra Perner:
Representation of 1-D Signals by a 0_1 Sequence and Similarity-Based Interpretation: A Case-Based Reasoning Approach. 728-739 - Alexey Zabashta, Ivan Smetannikov, Andrey Filchenkov:
Rank Aggregation Algorithm Selection Meets Feature Selection. 740-755 - Gang Xiao, Tengfei Shao, Tianqi Zhu, Yi Li, Jiafa Mao, Zhenbo Cheng:
Attention Region Based Approach for Tracking Individuals in a Small School of Fish for Water Quality Monitoring. 756-760 - Armita Abedijaberi, Jennifer L. Leopold:
FSMS: A Frequent Subgraph Mining Algorithm Using Mapping Sets. 761-773 - Mark Grechanik, Nitin Prabhu, Daniel Graham, Denys Poshyvanyk, Mohak Shah:
Can Software Project Maturity Be Accurately Predicted Using Internal Source Code Metrics? 774-789 - Atheer Al-Najdi, Nicolas Pasquier, Frédéric Precioso:
Multiple Consensuses Clustering by Iterative Merging/Splitting of Clustering Patterns. 790-804
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