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[null,"1.","Record Nr.",null,"UNINA9910786792403321"]
[null,null,"Autore",null,"Grow Nathaniel"]
[null,null,"Titolo",null,"Baseball on trial : the origin of baseball's antitrust exemption / / Nathaniel Grow"]
[null,null,"Pubbl/distr/stampa",null,"Urbana, [Illinois] : , : University of Illinois Press, , 2014"]
[{"$nulls":4},"©2014"]
[null,null,"ISBN",null,"0-252-09599-5"]
[null,null,"Descrizione fisica",null,"1 online resource (297 p.)"]
[null,null,"Disciplina",null,"343.7307/21"]
[null,null,"Soggetti",null,"Antitrust law - United States - History"]
[{"$nulls":4},"Professional sports contracts - United States - History"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"The rivalry begins : 1913 -- The opening salvos : December 1913 to June 1914 -- The federal league strikes back : June 1914 to December 1914 -- The Landis Case : January 1915 -- The long wait : February 1915 to February 1916 -- An aborted trial : February 1916 to June 1917 -- Baltimore goes to trial, again : June 1917 to April 1919 -- The defense : April 1919 -- The appeal and final decision : May 1919 to October 1922."]
[null,null,null,"Sommario/riassunto","The 1922 Federal Baseball Supreme Court ruling held that the 'business of base ball' was not subject to the Sherman Antitrust Act because it did not constitute interstate commerce. This work explains why the unanimous Supreme Court opinion authored by Justice Oliver Wendell Holmes, which gave rise to Major League Baseball's exemption from antitrust law, was correct given the circumstances of the time."]
[null,"2.","Record Nr.",null,"UNINA9910768454203321"]
[null,null,"Titolo",null,"Knowledge Discovery in Databases: PKDD 2003 : 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings / / edited by Nada Lavrač, Dragan Gamberger, Hendrik Blockeel, Ljupco Todorovski"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003"]
[null,null,"ISBN",null,"3-540-39804-X"]
[null,null,"Edizione",null,"[1st ed. 2003.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XVI, 508 p.)"]
[null,null,"Collana",null,"Lecture Notes in Artificial Intelligence ; ; 2838"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Data structures (Computer science)"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Logic, Symbolic and mathematical"]
[{"$nulls":4},"Mathematical statistics"]
[{"$nulls":4},"Database management"]
[{"$nulls":4},"Information storage and retrieval"]
[{"$nulls":4},"Data Structures and Information Theory"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Mathematical Logic and Formal Languages"]
[{"$nulls":4},"Probability and Statistics in Computer Science"]
[{"$nulls":4},"Database Management"]
[{"$nulls":4},"Information Storage and Retrieval"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references at the end of each chapters and index."]
[null,null,"Nota di contenuto",null,"Invited Papers -- From Knowledge-Based to Skill-Based Systems: Sailing as a Machine Learning Challenge -- Two-Eyed Algorithms and Problems -- Next Generation Data Mining Tools: Power Laws and Self-similarity for Graphs, Streams and Traditional Data -- Taking Causality Seriously: Propensity Score Methodology Applied to Estimate the Effects of Marketing Interventions -- Contributed Papers -- Efficient Statistical Pruning of Association Rules -- Majority Classification by Means of Association Rules -- Adaptive Constraint Pushing in Frequent Pattern Mining -- ExAnte: Anticipated Data Reduction in Constrained Pattern "]
[{"$nulls":4},"Mining -- Minimal k-Free Representations of Frequent Sets -- Discovering Unbounded Episodes in Sequential Data -- Mr-SBC: A Multi-relational Naïve Bayes Classifier -- SMOTEBoost: Improving Prediction of the Minority Class in Boosting -- Using Belief Networks and Fisher Kernels for Structured Document Classification -- A Skeleton-Based Approach to Learning Bayesian Networks from Data -- On Decision Boundaries of Naïve Bayes in Continuous Domains -- Application of Inductive Logic Programming to Structure-Based Drug Design -- Visualizing Class Probability Estimators -- Automated Detection of Epidemics from the Usage Logs of a Physicians’ Reference Database -- An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations -- Preference Mining: A Novel Approach on Mining User Preferences for Personalized Applications -- Explaining Text Clustering Results Using Semantic Structures -- Analyzing Attribute Dependencies -- Ranking Interesting Subspaces for Clustering High Dimensional Data -- Efficiently Finding Arbitrarily Scaled Patterns in Massive Time Series Databases -- Using Transduction and Multi-view Learning to Answer Emails -- Exploring Fringe Settings of SVMs for Classification -- Rule Discovery and Probabilistic Modeling for Onomastic Data -- Constraint-Based Mining of Sequential Patterns over Datasets with Consecutive Repetitions -- Symbolic Distance Measurements Based on Characteristic Subspaces -- The Pattern Ordering Problem -- Collaborative Filtering Using Restoration Operators -- Efficient Frequent Query Discovery in Farmer -- Towards Behaviometric Security Systems: Learning to Identify a Typist -- Efficient Density Clustering Method for Spatial Data -- Statistical ?-Partition Clustering over Data Streams -- Enriching Relational Learning with Fuzzy Predicates -- Text Categorisation Using Document Profiling -- A Simple Algorithm for Topic Identification in 0–1 Data -- Bottom-Up Learning of Logic Programs for Information Extraction from Hypertext Documents -- Predicting Outliers -- Mining Rules of Multi-level Diagnostic Procedure from Databases -- Learning Characteristic Rules Relying on Quantified Paths -- Topic Learning from Few Examples -- Arbogodaï, a New Approach for Decision Trees."]
[null,null,null,"Sommario/riassunto","The proceedings of ECML/PKDD2003 are published in two volumes: the Proceedings of the 14th European Conference on Machine Learning (LNAI 2837) and the Proceedings of the 7th European Conference on Principles and Practice of Knowledge Discovery in Databases (LNAI 2838). The two conferences were held on September 22–26, 2003 in Cavtat, a small tourist town in the vicinity of Dubrovnik, Croatia. As machine learning and knowledge discovery are two highly related fields, the co-location of both conferences is beneficial for both research communities. In Cavtat, ECML and PKDD were co-located for the third time in a row, following the successful co-location of the two European conferences in Freiburg (2001) and Helsinki (2002). The co-location of ECML2003 and PKDD2003 resulted in a joint program for the two conferences, including paper presentations, invited talks, tutorials, and workshops. Out of 332 submitted papers, 40 were accepted for publication in the ECML2003 proceedings, and 40 were accepted for publication in the PKDD2003  proceedings. All the submitted papers were reviewed by three referees. In addition to submitted papers, the conference program consisted of four invited talks, four tutorials, seven workshops, two tutorials combined with a workshop, and a discovery challenge."]