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  1. Categorized and Integrated Data Mining of Clinical Data.Akinori Abe, Norihiro Hagita, Michiko Furutani, Yoshiyuki Furutani & Rumiko Matsuoka - 2008 - In S. Iwata, Y. Oshawa, S. Tsumoto, N. Zhong, Y. Shi & L. Magnani (eds.), Communications and Discoveries From Multidisciplinary Data. Springer. pp. 315-330.
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  2. Part VI-Risk Management Systems with Intelligent Data Analysis-Implementing an Integrated Time-Series Data Mining Environment Based on Temporal Pattern Extraction Methods: A Case Study of An.Hidenao Abe, Miho Ohsaki, Hideto Yokoi & Takahira Yamaguchi - 2006 - In O. Stock & M. Schaerf (eds.), Lecture Notes in Computer Science. Springer Verlag. pp. 425-435.
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  3. Data Mining and Privacy of Social Network Sites’ Users: Implications of the Data Mining Problem.Yeslam Al-Saggaf & Md Zahidul Islam - 2015 - Science and Engineering Ethics 21 (4):941-966.
    This paper explores the potential of data mining as a technique that could be used by malicious data miners to threaten the privacy of social network sites users. It applies a data mining algorithm to a real dataset to provide empirically-based evidence of the ease with which characteristics about the SNS users can be discovered and used in a way that could invade their privacy. One major contribution of this article is the use of the decision forest data mining algorithm (...)
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  4. Introduction: Is Data Mining a Methodological Problem?Roger E. Backhouse & Mary S. Morgan - 2000 - Journal of Economic Methodology 7 (2):171-181.
    This survey of the symposium papers argues that the problem of data mining should be of interest to both practicing econometricians and specialists in economic methodology. After summarizing some of the main points to arise in the symposium, it draws on recent work in the philosophy of science to point to parallels between data mining and practices engaged in routinely by experimental scientists. These suggest that data mining might be seen in a more positive light than conventional doubts about it (...)
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  5. Keynes's Changing Conception of Probability.Bradley W. Bateman - 1987 - Economics and Philosophy 3 (1):97.
    One of the most actively discussed aspects of Keynes's thought during the last decade has been his concern with uncertainty and probability theory. As the concerns of current macroeconomic theorists have turned increasingly to the effects of expectations and uncertainty, interest has grown in the fact that Keynes was the author of A Treatise on Probability and that uncertainty plays a prominent role in Chapter 12 of The General Theory as well as in three 1937 papers in which he summarized (...)
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  6. Temporal Data Mining for Educational Applications.Carole R. Beal & Paul R. Cohen - 2008 - In Tu-Bao Ho & Zhi-Hua Zhou (eds.), Pricai 2008: Trends in Artificial Intelligence. Springer. pp. 66--77.
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  7. Better Decision Support Through Exploratory Discrimination-Aware Data Mining: Foundations and Empirical Evidence.Bettina Berendt & Sören Preibusch - 2014 - Artificial Intelligence and Law 22 (2):175-209.
  8. What Econometrics Cannot Teach Quantum Mechanics.J. Berkovitz - 1995 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 26 (2):163-200.
    Cartwright (1989) and Humphreys (1989) have suggested theories of probabilistic causation for singular events, which are based on modifications of traditional causal linear modelling. On the basis of her theory, Cartwright offered an allegedly local, and non-factorizable, common-cause model for the EPR experiment. In this paper I consider Cartwright's and Humphrey's theories. I argue that, provided plausible assumptions obtain, local models for EPR in the framework of these theories are committed to Bell inequalities, which are violated by experiment.
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  9. Prediction or Prophecy? The Boundaries of Economic Foreknowledge and Their Socio-Political Consequences.Gregor Betz - 2006 - DUV.
    Gregor Betz explores the following questions: Where are the limits of economics, in particular the limits of economic foreknowledge? Are macroeconomic forecasts credible predictions or mere prophecies and what would this imply for the way economic policy decisions are taken? Is rational economic decision making possible without forecasting at all?
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  10. Research Programs, Model-Building and Actor-Network-Theory: Reassessing the Case of the Leontief Paradox.Justin Bledin & Sharon Shewmake - 2004 - Journal of Economic Methodology 11 (4):455-476.
    Methodology of scientific research programs (MSRP), model-building and actor-network-theory (ANT) are woven together to provide a layered study of the Leontief paradox. Neil De Marchi's Lakatosian account examined the paradox within an Ohlin-Samuelson research program. A model-building approach rather highlights the ability of Leontief's input-output model to mediate between international trade theory and the world by facilitating an empirical application of the Heckscher-Ohlin Theorem. The epistemological implications of this model-building approach provide an alternative explanation of why Samuelson and other prominent (...)
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  11. Review: Bernt P. Stigum, Toward a Formal Science of Economics. The Axiomatic Method in Economics and Econometrics. [REVIEW]David Booth - 1991 - Journal of Symbolic Logic 56 (3):1102-1103.
  12. Three Interviews.Miro Brada - manuscript
    To support my Phd theses and results of my grant research in 1999, I asked 1) prominent chemist Antonín Holý, author of substances to treat hepatitis and HIV, about the indivisibility of the art and science (published in Slovak Narodna Obroda and Czech blisty,cz), 2) the distinguished economist William Baumol about the alternative activities (published in Slovak Nove Slovo, Czech Respekt and blisty.cz), 3) Nobel Laureate Clive Granger about the significance of the economics (published in 2004 in Czech weekly Tyden). (...)
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  13. Book Review:The History of Econometric Ideas: Historical Perspectives on Modern Economics M. S. Morgan. [REVIEW]Nancy Cartwright - 1993 - Philosophy of Science 60 (3):515-.
  14. Uncertainty in Econometrics: Evaluating Policy Counterfactuals.Nancy Cartwright & J. Reiss - unknown
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  15. Data Mining, Retrieval and Management-An Interactive Hybrid System for Identifying and Filtering Unsolicited E-Mail.M. Dolores del Castillo & J. Ignacio Serrano - 2006 - In O. Stock & M. Schaerf (eds.), Lecture Notes in Computer Science. Springer Verlag. pp. 779-788.
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  16. Economic History and Economic Theory.Filippo Cesarano - 2006 - Journal of Economic Methodology 13 (4):447-467.
    Since the mid?1950s the spread of formal models and econometric method has greatly improved the study of the past, giving rise to the ?new? economic history; at the same time, the influence of economic history on economists and economics has markedly declined. This paper argues that the contribution of history to the advancement of economics is still paramount, as is evident from the evolution of monetary theory and institutions.JEL classification: NO1, A12.
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  17. A Misconception of the Semantic Conception of Econometrics?Hsiang‐Ke Chao - 2005 - Journal of Economic Methodology 12 (1):125-135.
    Davis argues that Suppe's semantic conception provides a better understanding of the problem of theory?data confrontations. Applying his semantic methodology to the LSE (London School of Economics) approach of econometrics, he concludes that the LSE approach fails to address the issue of bridging the theory?data gap. This paper suggests two other versions of the semantic view of theories in the philosophy of science, due to Suppes and van Fraassen, and argues that the LSE approach can be construed under these two (...)
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  18. Can Graphical Causal Inference Be Extended to Nonlinear Settings?Nadine Chlaß & Alessio Moneta - 2010 - In M. Dorato M. Suàrez (ed.), Epsa Epistemology and Methodology of Science. Springer. pp. 63--72.
  19. How to Live Forever: Science Fiction and Philosophy.Stephen R. L. Clark - 2015 - Routledge.
    Immortality is a subject which has long been explored and imagined by science fiction writers. In his intriguing new study, Stephen R.L.Clark argues that the genre of science fiction writing allows investigation of philosophical questions about immortality without the constraints of academic philosophy. He reveals how fantasy accounts of issues such as resurrection, disembodied survival, reincarnation and devices or drugs for preserving life can be used as an important resource for philosophical inquiry and examines how a society of immortals might (...)
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  20. The Econometric Modelling of Social Preferences.Anna Conte & Peter G. Moffatt - 2014 - Theory and Decision 76 (1):119-145.
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  21. Econometric Methodology Ii the Role of the Philosophy of Science.S. Cook - 1996 - Department of Economics, University of Southampton.
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  22. On the Semantic Approach to Econometric Methodology.Steven Cook - 2005 - Journal of Economic Methodology 12 (1):117-123.
    In recent research, Davis (2005) has introduced the semantic conception of theories as a means of studying the differing practices of the Textbook and LSE approaches to econometric modelling. In this paper, Davis' (2005) use of the semantic view is examined, with close attention paid to the stated roles of the semantic notions of ?model dimensions? and ?bridging assumptions?. While comments concerning the latter are of a supportive nature, some concerns are raised in relation to Davis' use of model dimensions.
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  23. A Kuhnian Perspective on Econometric Methodology.Steven Cook - 2003 - Journal of Economic Methodology 10 (1):59-78.
    While there exist numerous applications of Kuhn's analysis of scientific revolutions to economics, there is yet to be an application to econometrics. The present paper addresses this via an analysis of the often-documented transition between the textbook and LSE methodologies witnessed in British time series econometrics. This exercise allows a number of issues to be raised. First, it will be questioned whether the observed transition in econometrics is an appropriate subject for analysis within the Kuhnian framework. This is the primary (...)
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  24. Observations on the Practice of Data-Mining: Comments on the JEM Symposium.Steven Cook - 2001 - Journal of Economic Methodology 8 (3):415-419.
    A positive view of data-mining has been recently presented in a Journal of Economic Methodology ( JEM ) symposium. This is in stark contrast to the stance normally taken. In this note consideration of the Bayesian philosophy of science literature and the impact of data revision extends the analysis of data-mining. Introduction of these issues is seen to provide support for the arguments presented in the JEM symposium.
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  25. Methodological Aspects of the Encompassing Principle.Steven Cook - 1999 - Journal of Economic Methodology 6 (1):61-78.
    The philosophy of science literature has played an increasing role in discussion of econometric methodology in recent years, and the Hendry methodology in particular has received much attention. Despite this, the encompassing principle has been overlooked in the methodological literature. This paper addresses this by examining the major methodological implications of the principle.
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  26. New Views of Early Mining and Extractive Metallurgy.Pt Craddock - 1992 - In New Developments in Archaeological Science. pp. 109-110.
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  27. Data Mining and Group Profiling on the Internet.B. H. M. Custers - 2001 - In Anton Vedder (ed.), Ethics and the Internet. Intersentia.
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  28. A Review of Jan R. Magnus and Mary S. Morgan's Methodology and Tacit Knowledge: Two Experiments in Econometrics. [REVIEW]A. C. Darnell - 2001 - Journal of Economic Methodology 8 (2):344-348.
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  29. Econometric Theory and Methods: International Edition.Russell Davidson - 2009 - Oxford University Press USA.
    Econometric Theory and Methods International Edition provides a unified treatment of modern econometric theory and practical econometric methods. The geometrical approach to least squares is emphasized, as is the method of moments, which is used to motivate a wide variety of estimators and tests. Simulation methods, including the bootstrap, are introduced early and used extensively. The book deals with a large number of modern topics. In addition to bootstrap and Monte Carlo tests, these include sandwich covariance matrix estimators, artificial regressions, (...)
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  30. A Rejoinder to Cook and Response to Chao: Moving the Textbook/LSE Debate Forward.George C. Davis - 2005 - Journal of Economic Methodology 12 (1):137-147.
    The reply by Cook and comment by Chao demonstrate Kuhn's thesis that different scientists place different values on different components of their common discipline. This fact is demonstrated by first succinctly summarizing Cook's and my original points within the framework of a simple choice model. I then respond to Cook and Chao. I close by offering some suggestions on how the Textbook/LSE debate could be moved forward.
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  31. Clarifying the 'Puzzle' Between the Textbook and LSE Approaches to Econometrics: A Comment on Cook's Kuhnian Perspective on Econometric Modelling.George C. Davis - 2005 - Journal of Economic Methodology 12 (1):93-115.
    In a recent article, Cook conducted a Kuhnian analysis of the difference between the Textbook and LSE econometric approaches. This paper uses a semantic conception of theories (Suppe 1989) and a finer gradation of the theory of reduction process to clarify the apparent puzzle that exist between the Textbook and LSE approaches to econometrics. The paper demonstrates that a Kuhnian analysis in isolation can be more misleading than realized.
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  32. A Semantic Interpretation of Haavelmo's Structure of Econometrics.George C. Davis - 2000 - Economics and Philosophy 16 (2):205-228.
    Trygve Haavelmo's 1944 article ‘The Probability Approach in Econometrics’ is considered by most to have provided the foundations for present day econometrics (Morgan, 1990, Chapters 8 and 9). Since Haavelmo (1944), extraordinary advances have been made in econometrics. However, over the last two decades the efficacy and scientific status of econometrics has become questionable. Not surprisingly, the growing discontent with econometrics has been accompanied by a growing interest in econometric methodology.
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  33. Equilibrium and Disequilibrium in Economic Theory: A Confrontation of the Classical, Marshallian and Walras-Hicksian Conceptions.Michel de Vroey - 1999 - Economics and Philosophy 15 (02):161-185.
    When the economic theory of the last decades becomes a subject of reflection for historians of economic theory, a striking feature which they will have to explain is the demise of the disequilibrium concept. Previously, economists had no qualms concerning the view that the market or the economy was exhibiting disequilibria. Amongst many possible quotations, the following, drawn from Viner's well-known article on Marshall, illustrates that:.
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  34. A Bayesian Treatment of Duhem's Thesis: The Case of the 'Farm Problem' in Agricultural Economics.David Dearmont & David A. Bessler - 1997 - Economics and Philosophy 13 (2):149-158.
    In this paper we consider a Bayesian treatment of ‘Duhem's thesis’, the proposition that theories are never refuted on empirical grounds because they cannot be tested in isolation from auxiliary hypotheses about initial conditions or the operation of scientific instruments. Sawyer, Beed, and Sankey (1997) consider Duhem's thesis (and its restatement in stronger and weaker forms as the ‘Duhem-Quine thesis’) and its role in hypothesis testing, using four theories from economics and finance as examples. Here we consider Duhem's thesis in (...)
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  35. 7 Critical Realism and Econometrics.Paul Downward & Andrew Mearman - 2003 - In Applied Economics and the Critical Realist Critique. Routledge. pp. 111.
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  36. Underemployment Equilibria: Essays in Theory, Econometrics and Policy.Jacques Drèze - 1991 - Cambridge University Press.
    This 1991 book is a selection of Jacques Drèze's work over the last decade on the topics of lasting unemployment, stagflation and unused capacity. At the theoretical level, the author has contributed to the formulation and analysis of general equilibrium models which allow for price rigidities and excess supply and lend themselves to econometric implementation, thus represents an attempt to integrate micro- and macroeconomics, and to use theory for empirical and policy purposes.
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  37. The Miracle of the Septuagint and the Promise of Data Mining in Economics.Stan Du Plessis - 2009 - In Harold Kincaid & Don Ross (eds.), The Oxford Handbook of Philosophy of Economics. Oxford University Press.
  38. The Importance of Estimates and Confidence Intervals Rather Than P Values [ P-Value, Statistical Significance].Margaret Ely - 1999 - Philosophy of the Social Sciences 29 (1):185-190.
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  39. Statistical Vs. Economic Significance in Economics and Econometrics: Further Comments on McCloskey and Ziliak.Tom Engsted - 2009 - Journal of Economic Methodology 16 (4):393-408.
    I comment on the controversy between McCloskey and Ziliak and Hoover and Siegler on statistical versus economic significance, in the March 2008 issue of the Journal of Economic Methodology. I argue that while McCloskey and Ziliak are right in emphasizing ?real error?, i.e. non-sampling error that cannot be eliminated through specification testing, they fail to acknowledge those areas in economics, e.g. rational expectations macroeconomics and asset pricing, where researchers clearly distinguish between statistical and economic significance and where statistical testing plays (...)
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  40. The Market for (Ir)Reproducible Econometrics.Susan Feigenbaum & David M. Levy - 1993 - Social Epistemology 7 (3):215 – 232.
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  41. Data Mining, Retrieval and Management-Using Rough Set to Find the Factors That Negate the Typical Dependency of a Decision Attribute on Some Condition Attributes.Honghai Feng, Hao Xu, Baoyan Liu, Bingru Yang, Zhuye Gao & Yueli Li - 2006 - In O. Stock & M. Schaerf (eds.), Lecture Notes in Computer Science. Springer Verlag. pp. 713-720.
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  42. The Error Term and its Interpretation in Structural Models in Econometrics.Damien Fennell - 2011 - In Phyllis McKay Illari, Federica Russo & Jon Williamson (eds.), Causality in the Sciences. Oxford University Press.
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  43. Causality, Mechanisms and Modularity: Structural Models in Econometrics.Damien Fennell - 2007 - In Federica Russo & Jon Williamson (eds.), Causality and Probability in the Sciences. pp. 161--177.
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  44. Why Functional Form Matters: Revealing the Structure in Structural Models in Econometrics.Damien Fennell - 2007 - Philosophy of Science 74 (5):1033-1045.
    This paper argues that econometricians' explicit adoption of identification conditions in structural equation modelling commits them to read the functional form of their equations in a strong, nonmathematical way. This content, which is implicitly attributed to the functional form of structural equations, is part of what makes equation structural. Unfortunately, econometricians are not explicit about the role functional form plays in signifying structural content. In order to remedy this, the second part of this paper presents an interpretation of the functional (...)
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  45. Causation and Specification in Economic Theory and Econometrics.Franklin M. Fisher - 1969 - Synthese 20 (4):489 - 500.
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  46. Solution to a Philosophical Problem Concerning Data Mining.Joseph S. Fulda - 1999 - Acm Sigcas Computers and Society 29 (4):6-7.
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  47. From Data to Knowledge: Implications of Data Mining.Joseph S. Fulda - 1997 - Acm Sigcas Computers and Society 27 (4):28.
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  48. Explanation and Causality: Some Suggestions From Econometrics.Maria Carla Galavotti - 1990 - Topoi 9 (2):161-169.
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  49. Causality and Exogeneity in Econometric Models in The Foundations of Statistical Methods in Biology, Physics and Economics.Mc Galavotti & G. Gambetta - 1990 - Boston Studies in the Philosophy of Science 122:27-40.
  50. Mining. [REVIEW]David Gill - 1995 - The Classical Review 45 (1):143-145.
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