Abstract | Keywords | Export | Availability | Bookmark

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

In recent years, as part of the increasing “informationization” of industry and the economy, enterprises have been accumulating vast amounts of detailed data such as high-frequency transaction data in nancial markets and point-of-sale information onindividualitems in theretail sector. Similarly,vast amountsof data arenow ava- able on business networks based on inter rm transactions and shareholdings. In the past, these types of information were studied only by economists and management scholars. More recently, however, researchers from other elds, such as physics, mathematics, and information sciences, have become interested in this kind of data and, based on novel empirical approaches to searching for regularities and “laws” akin to those in the natural sciences, have produced intriguing results. This book is the proceedings of the international conference THICCAPFA7 that was titled “New Approaches to the Analysis of Large-Scale Business and E- nomic Data,” held in Tokyo, March 1–5, 2009. The letters THIC denote the Tokyo Tech (Tokyo Institute of Technology)–Hitotsubashi Interdisciplinary Conference. The conference series, titled APFA (Applications of Physics in Financial Analysis), focuses on the analysis of large-scale economic data. It has traditionally brought physicists and economists together to exchange viewpoints and experience (APFA1 in Dublin 1999, APFA2 in Liege ` 2000, APFA3 in London 2001, APFA4 in Warsaw 2003, APFA5 in Torino 2006, and APFA6 in Lisbon 2007). The aim of the conf- ence is to establish fundamental analytical techniques and data collection methods, taking into account the results from a variety of academic disciplines.

Business enterprises -- Finance -- Congresses. --- Business enterprises -- Finance. --- Business enterprises. --- Mathematical physics -- Congresses. --- Mathematical physics. --- Business enterprises --- Mathematical physics --- Business & Economics --- Physics --- Physical Sciences & Mathematics --- Economic Theory --- Atomic Physics --- Finance --- Econophysics --- Business mathematics --- Statistical methods --- Mathematical models --- Funding --- Funds --- Arithmetic, Commercial --- Business --- Business arithmetic --- Business math --- Commercial arithmetic --- Mathematics --- Physics. --- Data mining. --- Probabilities. --- Statistical physics. --- Dynamical systems. --- Statistics. --- Econometrics. --- Statistical Physics, Dynamical Systems and Complexity. --- Data Mining and Knowledge Discovery. --- Probability Theory and Stochastic Processes. --- Statistics for Business/Economics/Mathematical Finance/Insurance. --- Economics --- Currency question --- Statistical physics --- Distribution (Probability theory. --- Complex Systems. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Statistical Physics and Dynamical Systems. --- Statistical analysis --- Statistical data --- Statistical science --- Econometrics --- Economics, Mathematical --- Statistics --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Mathematical statistics --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Statistics . --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Risk --- Dynamical systems --- Kinetics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Statics