Chance Discovery

What do you do to start reading chance discovery? Searching the book that you love to read first or find an interesting book that will make you want to read? Everybody has difference with their reason of reading a book. Actuary, reading habit must be from earlier. Many people may be love to read, but not a book. It's not fault. Someone will be bored to open the thick book with small words to read. In more, this is the real condition. So do happen probably with this chance discovery.

[1]  Ricardo Vilalta,et al.  A Classification Approach for Prediction of Target Events in Temporal Sequences , 2002, PKDD.

[2]  Abraham Kandel,et al.  Knowledge discovery in time series databases , 2001, IEEE Trans. Syst. Man Cybern. Part B.

[3]  Vipin Kumar,et al.  Mining Indirect Associations in Web Data , 2001, WEBKDD.

[4]  P. Godfrey‐Smith.  Theory and reality : an introduction to the philosophy of science , 2003 .

[5]  N Mathias,et al.  Small worlds: how and why. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[6]  Ramakrishnan Srikant,et al.  Mining Sequential Patterns: Generalizations and Performance Improvements , 1996, EDBT.

[7]  Hisashi Shimodaira,et al.  Time-Series Prediction , 2002 .

[8]  Pierre Baldi,et al.  Bioinformatics - the machine learning approach (2. ed.) , 2000 .

[9]  Jaideep Srivastava,et al.  Indirect Association: Mining Higher Order Dependencies in Data , 2000, PKDD.

[10]  Gary M. Weiss.  Timeweaver: a genetic algorithm for identifying predictive patterns in sequences of events , 1999 .

[11]  Richard A. Davis,et al.  Introduction to time series and forecasting , 1998 .

[12]  Sharon L. Milgram,et al.  The Small World Problem , 1967 .

[13]  G. Yule.  On a Method of Investigating Periodicities in Disturbed Series, with Special Reference to Wolfer's Sunspot Numbers , 1927 .

[14]  Gerald Salton,et al.  Automatic text processing , 1988 .

[15]  Mitsuru Ishizuka,et al.  A Document as a Small World , 2001, JSAI Workshops.

[16]  Sameer Singh.  PATTERN MODELLING IN TIME-SERIES FORECASTING , 2000, Cybern. Syst..

[17]  Dirk Husmeier,et al.  Sensitivity and specificity of inferring genetic regulatory interactions from microarray experiments with dynamic Bayesian networks , 2003, Bioinform..

[18]  J. Goo,et al.  Receiver Operating Characteristic (ROC) Curve: Practical Review for Radiologists , 2004, Korean journal of radiology.

[19]  Jiawei Han,et al.  Mining Segment-Wise Periodic Patterns in Time-Related Databases , 1998, KDD.

[20]  C. E. SHANNON,et al.  A mathematical theory of communication , 1948, MOCO.

[21]  C. Metz.  Basic principles of ROC analysis. , 1978, Seminars in nuclear medicine.

[22]  Bart Selman,et al.  The Hidden Web , 1997, AI Mag..

[23]  Albert-László Barabási,et al.  Internet: Diameter of the World-Wide Web , 1999, Nature.

[24]  Kyuseok Shim,et al.  SPIRIT: Sequential Pattern Mining with Regular Expression Constraints , 1999, VLDB.

[25]  Jr. J.P. Campbell,et al.  Speaker recognition: a tutorial , 1997, Proc. IEEE.

[26]  A. Tversky,et al.  Judgment under Uncertainty: Heuristics and Biases , 1974, Science.

[27]  Chris Chatfield,et al.  The Analysis of Time Series , 1990 .

[28]  Jiawei Han,et al.  Data Mining: Concepts and Techniques , 2000 .

[29]  Didier Sornette,et al.  Predictability of catastrophic events: Material rupture, earthquakes, turbulence, financial crashes, and human birth , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[30]  Ramakrishnan Srikant,et al.  Mining sequential patterns , 1995, Proceedings of the Eleventh International Conference on Data Engineering.

[31]  Ramakrishnan Srikant,et al.  Fast algorithms for mining association rules , 1998, VLDB 1998.

[32]  Haym Hirsh,et al.  Learning to Predict Rare Events in Event Sequences , 1998, KDD.

[33]  Naftali Tishby,et al.  Predictability, Complexity, and Learning , 2000, Neural Computation.

[34]  PAUL EMBRECHTS,et al.  Modelling of extremal events in insurance and finance , 1994, Math. Methods Oper. Res..

[35]  Jie Wu,et al.  Small Worlds: The Dynamics of Networks between Order and Randomness , 2003 .

[36]  Heikki Mannila,et al.  Discovering Frequent Episodes in Sequences , 1995, KDD.