A plea for the natural sciences in the common schools ...

Excerpt from: Indiana school journal, v.34, July 1889, no.7

Bulletin of the Buffalo Society of Natural Sciences.

GeoRef

A memoir of William Maclure, esq., late president of the Academy of Natural Sciences of Philadelphia.

Mode of access: Internet.

A memoir of Lewis David von Schweinitz, with a sketch of his scientific labours. Read before the Academy of natural sciences of Philadelphia, 1835.

Mode of access: Internet.

A memoir of the late Lewis David von Schweinitz, P.D. : with a sketch of his scientific labours. Read before the Academy of Natural Sciences of Philadelphia, May 12th, 1835 /

Appendix: List of Schweinitz' scientific publications: p. [36]-38.

Journal of the Academy of Natural Sciences of Philadelphia.

Title from caption.

Archives of science and transactions of the Orleans County Society of Natural Sciences.

Mode of access: Internet.

Archives of science and transactions of the Orleans County society of natural sciences

Mode of access: Internet.

Federal Grants and Contracts for Unclassified Research in the Physical Sciences

Mode of access: Internet.

Federal Grants and Contracts for Unclassified Research in the Life Sciences

Mode of access: Internet.

Protection of the individual as a research subject; grants, awards, contracts.

Mode of access: Internet.

Why intelligent travel system is a good organizing trips tool for Polish tourists?

Paper based on the report for the unit on “Sociology of New Information Technologies” at the MSc Industrial Management and Engineering at the Universidade Nova Lisbon, Faculty of Sciences and Technology, under supervision of Prof. António B. Moniz. The report had the support from the ERASMUS program.

Using data mining with time series data in short-term stocks prediction

Data Mining (DM) methods are being increasingly used in prediction with time series data, in addition to traditional statistical approaches. This paper presents a literature review of the use of DM with time series data, focusing on short- time stocks prediction. This is an area that has been attracting a great deal of attention from researchers in the field. The main contribution of this paper is to provide an outline of the use of DM with time series data, using mainly examples related with short-term stocks prediction. This is important to a better understanding of the field. Some of the main trends and open issues will also be introduced.