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Recent papers classified by the tag decision_tree.

	C4.5: Programs for Machine Learning [My Copy] (15 January 1993) by Ross J. Quinlan posted to regression decision_tree classification by hr0nix on 2009-11-29 19:49:39 as along with 11 people and 1 group tienholin anib pinventado xuzhe83 imrchen akastrin misovalko fmatthes sammydre vikx01 puthy WAND
	Genetic Programming and Simulated Annealing: A Hybrid Method to Evolve Decision Trees [My Copy] Genetic Programming (2000), pp. 294-303. by Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano posted to genetic decision_tree classification by hr0nix on 2009-11-29 19:39:19 as along with 1 person Ridz
	Stochastic gradient boosting [My Copy] Comput. Stat. Data Anal., Vol. 38, No. 4. (February 2002), pp. 367-378. by Jerome H. Friedman posted to regression decision_tree classification boosting by hr0nix on 2009-11-29 18:56:18 as along with 2 people liucun nmdang
	A System for Induction of Oblique Decision Trees [My Copy] Journal of Artificial Intelligence Research, Vol. 2 (1994), pp. 1-32. by Sreerama K. Murthy, Simon Kasif, Steven Salzberg posted to decision_tree by jjrodriguez on 2009-11-15 17:40:14 as along with 1 person cjones
	A Multi-relational Decision Tree Learning Algorithm - Implementation and Experiments [My Copy] Inductive Logic Programming (2003), pp. 38-56. by Anna Atramentov, Hector Leiva, Vasant Honavar posted to relational_data_mining decision_tree by jrcoffi on 2009-10-26 10:33:30 as
	Flexible decision tree for data stream classification in the presence of concept change, noise and missing values [My Copy] Data Mining and Knowledge Discovery, Vol. 19, No. 1. (1 August 2009), pp. 95-131. by Sattar Hashemi, Ying Yang posted to online fuzzy decision_tree concept_drift by jjrodriguez on 2009-10-18 12:42:28 as along with 1 group Incremental Learning
	Bregman Divergences and Surrogates for Learning [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 31, No. 11. (19 September 2008), pp. 2048-2059. by Richard Nock, Frank Nielsen posted to divergences decision_tree boosting by jjrodriguez on 2009-09-29 18:40:25 as
	Medical image classfication using an efficient data mining technique [My Copy] Machine Learning and Applications, 2004. Proceedings. 2004 International Conference on (31 January 2005), pp. 397-402. by S. M. Khan, R. Islam, M. U. Chowdhury posted to medical_data_mining decision_tree classification by wendyjap on 2009-09-23 18:32:56 as
	Decision trees as possibilistic classifiers [My Copy] Int. J. Approx. Reasoning, Vol. 48, No. 3. (2008), pp. 784-807. by Ilyes Jenhani, Nahla B. Amor, Zied Elouedi posted to decision_tree by sancho on 2009-09-03 23:32:01 as
	Proteomic mass spectra classification using decision tree based ensemble methods [My Copy] Bioinformatics, Vol. 21, No. 14. (15 July 2005), pp. 3138-3145. by Pierre Geurts, Marianne Fillet, Dominique de Seny, et al.Marie-Alice Meuwis, Michel Malaise, Marie-Paule Merville, Louis Wehenkel posted to ensemble decision_tree bioinformatics by jjrodriguez on 2009-09-03 12:26:10 as along with 1 person lp2
	Multivariate decision trees [My Copy] Machine Learning, Vol. 19, No. 1. (1 April 1995), pp. 45-77. by Carla E. Brodley, Paul E. Utgoff posted to decision_tree by jjrodriguez on 2009-09-02 12:52:54 as
	Decision Tree Ensemble: Small Heterogeneous Is Better Than Large Homogeneous [My Copy] Machine Learning and Applications, 2008. ICMLA '08. Seventh International Conference on In Machine Learning and Applications, 2008. ICMLA '08. Seventh International Conference on (2008), pp. 900-905. by M. Gashler, C. Giraud-Carrier, T. Martinez posted to random_forest ensemble decision_tree by jjrodriguez on 2009-09-02 09:40:32 as
	Multivariate Decision Trees vs. Univariate Ones [My Copy] Computer Recognition Systems 3 (2009), pp. 275-284. by Mariusz Koziol, Michal Wozniak posted to decision_tree by jjrodriguez on 2009-08-28 15:04:11 as
	A New Host-Based Hybrid IDS Architecture - A Mind Of Its Own: The Know-how Of Host-Based Hybrid Intrusion Detection System Architecture Using Machine Learning Algorithms With Feature Selection [My Copy] (03 July 2009) by Murat Topallar posted to weka self_organizing_map rule_mining rule_extraction pattern_recognition neural_network network_security misuse_detection machine_learning_tool machine_learning_algorithm machine_learning kddcup_99 intrusion_detection_system intrusion_detection internet_security internet_attack information_security ids hybrid_intrusion_detection host_security host-based_intrusion_detection host-based_hybrid_intrusion_detection feature_selection feature_extraction dos detection_rate denial_of_service decision_tree decision_making data_mining darpa computer_security clustering classification_rate classification c_4-5_algorithm buffer_overflow attack_database attack_classification arff anomaly_detection by mtopallar to the group Security on 2009-08-27 01:20:57 as along with 5 groups Pattern-Analysis NeuralNetworks IDS Feature Selection DSS
	Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination [My Copy] Journal of Machine Learning Research, Vol. 10 (July 2009), pp. 1341-1366. by Eugene Tuv, Alexander Borisov, George Runger, Kari Torkkola posted to decision_tree ensemble feature_weighting by jjrodriguez on 2009-08-11 10:43:29 as along with 1 person sdvillal
	A new method for predicting vegetation distributions using decision tree analysis in a geographic information system [My Copy] Environmental Management, Vol. 15, No. 1. (1 January 1991), pp. 59-71. by D. Moore, B. Lees, S. Davey posted to decision_tree vegetation_mapping by gratplats on 2009-06-30 04:58:25 as
	Evolving and clustering fuzzy decision tree for financial time series data forecasting [My Copy] Expert Systems with Applications, Vol. 36, No. 2. (March 2009), pp. 3761-3773. by R. Lai, C. Fan, W. Huang, P. Chang posted to decision_tree fuzzy_set_theory genetic_algorithm by jrcoffi on 2009-05-22 14:18:09 as
	Temporal Decision Trees for Diagnosis: An Extension [My Copy] AIIA 2003: Advances in Artificial Intelligence* (2003), pp. 14-26. by Claudia Picardi posted to decision_tree structured_data temporal_constraint by jrcoffi on 2009-05-15 10:10:51 as
	Decision tree learning with fuzzy labels [My Copy] Inf. Sci. Inf. Comput. Sci., Vol. 172, No. 1-2. (2005), pp. 91-129. by Zengchang Qin, Jonathan Lawry posted to decision_tree fuzzy_set_theory by jrcoffi on 2009-05-07 10:49:37 as
	Decision Tree Evolution Using Limited Number of Labeled Data Items from Drifting Data Streams [My Copy] In ICDM '04: Proceedings of the Fourth IEEE International Conference on Data Mining (2004), pp. 379-382. by Wei Fan, Yi A. Huang, Philip S. Yu posted to active_learning concept_drift data_stream decision_tree by jrcoffi on 2009-05-07 10:19:16 as
	Conditional Probability Tree Estimation Analysis and Algorithms [My Copy] (25 Mar 2009) by Alina Beygelzimer, John Langford, Yuri Lifshits, Gregory Sorkin, Alex Strehl posted to decision_tree by jjrodriguez on 2009-05-03 09:43:28 as along with 1 person and 1 group mdreid Statistical Machine Learning
	An empirical study of using Rotation Forest to improve regressors [My Copy] Applied Mathematics and Computation, Vol. 195, No. 2. (01 February 2008), pp. 618-629. by C. Zhang, J. Zhang, G. Wang posted to decision_tree invref regression by jjrodriguez on 2009-04-30 12:57:46 as
	An Analysis of Reduced Error Pruning [My Copy] Journal of Artificial Intelligence Research, Vol. 15 (2001), pp. 163-187. by Tapio Elomaa, Matti Kääriäinen posted to decision_tree by jjrodriguez on 2009-04-30 11:08:13 as
	Using decision trees to infer semantic functions of attribute grammars [My Copy] Acta Cybern., Vol. 15, No. 2. (2001), pp. 279-304. by Szilvia Zvada, Tibor Gyimáthy posted to attribute_grammar decision_tree by jrcoffi on 2009-04-29 10:03:19 as
	An Empirical Comparison of Pruning Methods for Decision Tree Induction [My Copy] Machine Learning, Vol. 4, No. 2. (1 November 1989), pp. 227-243. by John Mingers posted to decision_tree error_minimization pruning by jrcoffi on 2009-04-21 15:05:58 as
	On estimating probabilities in tree pruning [My Copy] Machine Learning — EWSL-91 (1991), pp. 138-150. by Bojan Cestnik, Ivan Bratko posted to decision_tree pruning by jrcoffi on 2009-04-21 15:01:08 as
	An evolutionary algorithm for constructing a decision forest: Combining the classification of disjoints decision trees [My Copy] Int. J. Intell. Syst., Vol. 23, No. 4. (2008), pp. 455-482. by Lior Rokach posted to decision_tree ensemble_method genetic_algorithm by jrcoffi on 2009-04-21 14:42:11 as
	Adapted One-versus-All Decision Trees for Data Stream Classification [My Copy] Knowledge and Data Engineering, IEEE Transactions on In Knowledge and Data Engineering, IEEE Transactions on, Vol. 21, No. 5. (2009), pp. 624-637. by Sattar Hashemi, Ying Yang, Zahra Mirzamomen, Mohammadreza Kangavari posted to decision_tree multiclass online by jjrodriguez on 2009-03-31 11:57:58 as
	Ranking with decision tree [My Copy] Knowledge and Information Systems, Vol. 17, No. 3., pp. 381-395. by Fen Xia, Wensheng Zhang, Fuxin Li, Yanwu Yang posted to decision_tree machine_learning ranking splitting_rule by groda to the group CLEF-IP on 2009-03-29 13:34:25 as
	Using model trees for classification [My Copy] In Machine Learning, Vol. 32 (1998), pp. 63-76. by Eibe Frank, Yong Wang, Geoffrey Holmes, Ian H. Witten, H. Witten posted to decision_tree regression by jjrodriguez on 2009-02-11 12:37:55 as along with 1 person yaroslavvb
	Forecasting Skewed Biased Stochastic Ozone Days: Analyses and Solutions [My Copy] Data Mining, 2006. ICDM '06. Sixth International Conference on In Data Mining, 2006. ICDM '06. Sixth International Conference on (2006), pp. 753-764. by Kun Zhang, Wei Fan, Xiaojing Yuan, I. Davidson, Xiangshang Li posted to data_mining data_stream decision_tree ensemble_method incremental_learning svm uncertainty by jrcoffi on 2009-02-05 16:01:56 as
	Incorporating Uncertainty via Hierarchical Classification Using Fuzzy Decision Trees [My Copy] Geoscience and Remote Sensing, IEEE Transactions on In Geoscience and Remote Sensing, IEEE Transactions on, Vol. 45, No. 1. (2007), pp. 237-245. by D. E. van de Vlag, A. Stein posted to decision_tree fuzzy_set_theory uncertainty by jrcoffi on 2009-01-23 13:44:01 as along with 1 person iwagner
	A complete fuzzy decision tree technique [My Copy] Fuzzy Sets and Systems, Vol. 138, No. 2. (01 September 2003), pp. 221-254. by C. Olaru posted to decision_tree fuzzy_set_theory by jrcoffi on 2009-01-23 13:19:01 as
	Minimax-Optimal Classification With Dyadic Decision Trees [My Copy] Information Theory, IEEE Transactions on, Vol. 52, No. 4. (2006), pp. 1335-1353. by C. Scott, R. D. Nowak posted to decision_tree dyadic_partition minimax_optimization by jrcoffi on 2009-01-23 13:12:14 as along with 1 person ded_maxim
	Failure diagnosis using decision trees [My Copy] Autonomic Computing, 2004. Proceedings. International Conference on (2004), pp. 36-43. by M. Chen, A. X. Zheng, J. Lloyd, M. I. Jordan, E. Brewer posted to association_rules decision_tree failure_diagnosis by jrcoffi on 2009-01-23 12:54:18 as along with 1 person and 1 group ingstrup Rigi
	Learning concept drift with a committee of decision trees [My Copy] (2001) by Kenneth O. Stanley posted to concept_drift decision_tree ensemble_method by jrcoffi on 2009-01-23 12:51:37 as
	Pruning decision trees with misclassification costs [My Copy] In In Proceedings of the European Conference on Machine Learning (1998), pp. 131-136. by Jeffrey P. Bradford, Clayton Kunz, Ron Kohavi, Cliff Brunk, Carla E. Brodley posted to decision_tree error_minimization pruning by jrcoffi on 2009-01-23 12:48:18 as
	Bagging, Boosting, and C4.5 [My Copy] In In Proceedings of the Thirteenth National Conference on Artificial Intelligence (1996), pp. 725-730. by J. R. Quinlan posted to decision_tree ensemble_method by jrcoffi on 2009-01-23 12:46:00 as along with 1 person nico_trompiste
	Adaptive Non-Deterministic Decision Trees: General Formulation and Case Study [My Copy] by Hemerson Pistori, Mauro C. Pereira, Escola Politécnica posted to decision_tree machine_learning rule-driven_adaptive_devices by jrcoffi on 2009-01-23 12:33:59 as
	Mining Concept-Drifting Data Streams with Multiple Semi-Random Decision Trees [My Copy] Advanced Data Mining and Applications (2008), pp. 733-740. by Peipei Li, Xuegang Hu, Xindong Wu posted to concept_drift data_stream decision_tree ensemble_method incremental_learning by jrcoffi on 2009-01-21 09:37:02 as
	Tree2 - Decision Trees for Tree Structured Data [My Copy] Knowledge Discovery in Databases: PKDD 2005 (2005), pp. 46-58. by Björn Bringmann, Albrecht Zimmermann posted to data_mining decision_tree integrated_approach structured_data by jrcoffi on 2009-01-14 15:38:06 as
	Improved use of continuous attributes in C4.5 [My Copy] Journal of Artificial Intelligence Research, Vol. 4 (1996), pp. 77-90. by J. R. Quinlan posted to c45 continuous decision_tree by rlichten on 2008-11-24 18:35:44 as along with 1 person malibu
	Learning decision trees with taxonomy of propositionalized attributes [My Copy] Pattern Recogn., Vol. 42, No. 1. (2009), pp. 84-92. by Dae K. Kang, Kiwook Sohn posted to decision_tree by jjrodriguez on 2008-09-23 15:09:21 as
	Fuzzy SLIQ Decision Tree Algorithm [My Copy] Systems, Man, and Cybernetics, Part B, IEEE Transactions on In Systems, Man, and Cybernetics, Part B, IEEE Transactions on, Vol. 38, No. 5. (2008), pp. 1294-1301. by B. Chandra, P. P. Varghese posted to decision_tree fuzzy by jjrodriguez on 2008-09-23 12:13:42 as
	An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization [My Copy] Machine Learning, Vol. 40, No. 2. (2000), pp. 139-157. by Thomas G. Dietterich posted to bagging boosting decision_tree ensemble by jjrodriguez on 2008-09-09 15:33:40 as along with 2 people and 1 group bcroy thangvu MAML
	Mining time-changing data streams [My Copy] In KDD '01: Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining (2001), pp. 97-106. by Geoff Hulten, Laurie Spencer, Pedro Domingos posted to data_mining decision_tree machine_learning sequential_learning by rlichten on 2008-09-02 19:37:18 as along with 3 people and 1 group arsyed tmancill jjrodriguez Incremental Learning
	Interactive machine learning: letting users build classifiers [My Copy] International Journal of Human-Computer Studies, Vol. 55, No. 3. (September 2001), pp. 281-292. by Malcolm Ware, E. I. B. E. Frank, Geoffrey Holmes, M. A. R. K. Hall, Ian H. Witten posted to decision_tree visualization by jjrodriguez on 2008-08-26 11:28:37 as
	A decision tree-based attribute weighting filter for naive Bayes [My Copy] Knowledge-Based Systems In AI 2006, The 26th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Vol. 20, No. 2. (March 2007), pp. 120-126. by Mark Hall posted to decision_tree feature_weighting naive_bayes by jjrodriguez on 2008-08-18 11:31:43 as along with 2 people awg2 tmancill
	Decision-tree instance-space decomposition with grouped gain-ratio [My Copy] Information Sciences, Vol. 177, No. 17. (1 September 2007), pp. 3592-3612. by Shahar Cohen, Lior Rokach, Oded Maimon posted to decision_tree by jjrodriguez on 2008-05-07 17:53:25 as
	Feature set decomposition for decision trees [My Copy] Intell. Data Anal., Vol. 9, No. 2. (March 2005), pp. 131-158. by Lior Rokach, Oded Maimon posted to decision_tree ensemble feature_selection by jjrodriguez on 2008-05-07 17:47:51 as

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machine_learning	16
classification	13
data_mining	10
anomaly_detection	8
feature_selection	8
neural_network	8
arff	7
attack_classification	7
attack_database	7
buffer_overflow	7
c_4-5_algorithm	7
classification_rate	7
clustering	7
computer_security	7
darpa	7
decision_making	7
denial_of_service	7
detection_rate	7
dos	7
feature_extraction	7
host-based_hybrid_intrusion_detection	7
host-based_intrusion_detection	7
host_security	7
hybrid_intrusion_detection	7
ids	7
information_security	7
internet_attack	7
internet_security	7
intrusion_detection	7
intrusion_detection_system	7
kddcup_99	7
machine_learning_algorithm	7
machine_learning_tool	7
misuse_detection	7
network_security	7
pattern_recognition	7
rule_extraction	7
rule_mining	7
self_organizing_map	7
weka	7
ensemble	5
ensemble_method	5
concept_drift	4
fuzzy_set_theory	4
regression	4
boosting	3
data_stream	3
online	3
pruning	3
0top	2
active_learning	2
error_minimization	2
feature_weighting	2
fuzzy	2
genetic_algorithm	2
incremental_learning	2
structured_data	2
uncertainty	2
0print	1
1obia	1
1spatial	1
2007	1
2008	1
2review	1
abstraction	1
association_rules	1
bagging	1
bayes	1
bioinformatics	1
c45	1
continuous	1
de	1
developmental	1
dyadic_partition	1
ecml	1
failure_diagnosis	1
genetic	1
hierarchical_labels	1
highres	1
icml	1
integrated_approach	1
invref	1
medical_data_mining	1
minimax_optimization	1
missing	1
multiclass	1
naive_bayes	1
object-based	1
protein_structure	1
random_forest	1
ranking	1
relational_data_mining	1
remote_sensing	1
robotics	1
rule-driven_adaptive_devices	1
sequential_learning	1
splitting_rule	1
svm	1
temporal_constraint	1
vegetation_mapping	1

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