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In October 1863 the United States Army's Rio Grande Expedition left New Orleans, bound for the Texas coast. Reacting to the recent French occupation of Mexico, President Abraham Lincoln believed that the presence of U.S. troops in Texas would dissuade the French from intervening in the American Civil War. The first major objective of this campaign was Brownsville, Texas, a port city on the lower Rio Grande. Its capture would not only serve as a warning to the French in Mexico; it would also disrupt a lucrative Confederate cotton trade across the border. The expedition had a mixed record of achievement. It succeeded in disrupting the cotton trade, but not stopping it. Federal forces installed a military governor, Andrew J. Hamilton, in Brownsville, but his authority extended only to the occupied part of Texas, a strip of land along the coast of the Gulf of Mexico. The campaign also created considerable fear among Confederate soldiers and civilians that the ravages of civil war had now come to the Lone Star State. Although short-lived, the panic generated by the Rio Grande Expedition left an indelible mark on the memories of Texans who lived through the campaign. The expedition achieved its greatest success by establishing a permanent Federal presence in Texas as a warning against possible French meddling north of the Rio Grande.

Our ability and capacity to generate, record and store multi-dimensional, apparently unstructured data is increasing rapidly, while the cost of data storage is going down. The data recorded is not perfect, as noise gets introduced in it from different sources. Some of the basic forms of noise are incorrect recording of values and missing values. The formal study of discovering useful hidden information in the data is called Data Mining. Because of the size, and complexity of the problem, practical data mining problems are best attempted using automatic means. Data Mining can be categorized into two types i.e. supervised learning or classification and unsupervised learning or clustering. Clustering only the records in a database (or data matrix) gives a global view of the data and is called one-way clustering. For a detailed analysis or a local view, biclustering or co-clustering or two-way clustering is required involving the simultaneous clustering of the records and the attributes. In this dissertation, a novel fast and white noise tolerant data mining solution is proposed based on the Crossing Minimization (CM) paradigm; the solution works for one-way as well as two-way clustering for discovering overlapping biclusters. For decades the CM paradigm has traditionally been used for graph drawing and VLSI (Very Large Scale Integration) circuit design for reducing wire length and congestion. The utility of the proposed technique is demonstrated by comparing it with other biclustering techniques using simulated noisy, as well as real data from Agriculture, Biology and other domains. Two other interesting and hard problems also addressed in this dissertation are (i) the Minimum Attribute Subset Selection (MASS) problem and (ii) Bandwidth Minimization (BWM) problem of sparse matrices. The proposed CM technique is demonstrated to provide very convincing results while attempting to solve the said problems using real public domain data. Pakistan is the fourth largest supplier of cotton in the world. An apparent anomaly has been observed during 1989-97 between cotton yield and pesticide consumption in Pakistan showing unexpected periods of negative correlation. By applying the indigenous CM technique for one-way clustering to real Agro-Met data (2001-2002), a possible explanation of the anomaly has been presented in this thesis.

This dissertation explores the social and material arrangements in which the cotton market emerged as an object of social scientific inquiry and liberal government in Egypt during the first three decades of the British occupation (1882-1912). This new figuration of the cotton market did not emerge as the natural unfolding of a universal modernity, economic rationality or the inherent logic of capital. Instead, as this study demonstrates, it was a much more earthly affair. In the wake of financial and ecological crises, the colonial elite allied themselves with economists to embed new technologies of calculation into the Egyptian countryside. In the process, they reconfigured what a market was.

This thesis is a historical geography of cotton production in Arizona from the prehistoric Hohokam cotton farms to the large-scale agribusiness operations that dominate modern Arizona agriculture. The purpose is to chart the expansion and distribution of cotton production and identify important cultural, biological, and physical factors that have influenced cotton planting decisions and so contributed to the evolution of Arizona's commercial cotton production region. In a final analysis, the businesses that are backward- and forward-linked to the growers--such as banks, agricultural implement and agricultural chemical dealers, and cotton ginners and cottonseed processors--have more responsibility in the evolution and endurance of Arizona's cotton production region than do the growers.

The British market has until now received little of the credit due it as the chief support of the cotton industry during the final fifty years of the eighteenth century. The manner in which this support was extended involved a restructuring of the economy, as illustrated by a qualitative change in the consumer habits of the population; the advent of a mass consumer society. The demand for cotton textiles was a distillation of many amorphous desires and aspirations that flourished in eighteenth century Britain. This was not a frivolous whim on the part of a small host of women, but a powerful economic force which might be tapped through the female section of the society, but which involved the entire society on a fundamental level. When the fashionable urge was translated into a demand for inexpensive, attractive cottons the industry was tied to one of the most potent commercial forces of that period. As a result of recent research, historians are coming to recognize a feature of economic development in the last half of the eighteenth century never before sufficiently acknowledged. This quality in the economic life of the nation set it off from all previous eras. During that time an economy developed and prospered that was geared to the profits of popular fashions, produced cheaply and in quantity for the mass market. Never before had a trade developed so quickly, exclusively on popular demand for mass-produced fashionable textiles. The provision of news on current fashions throughout the nation sparked generalized interest in British manufacturers among the middle and working classes. These classes were the basis of the market on which the cotton. industry depended for its vitality; it was among these sections of society that the creations of the cotton industry found the great new markets of the eighteenth century. Institutionalized dessimination of fashion information in print; a homogeneity of demand throughout the nation and the ranks of the nation; and the diversification and development of cotton products in response to this demand were the principal characteristics of this economic and social phenomenon.

Thesis (M.A.)--University of Wisconsin--Madison, 1965. / eContent provider-neutral record in process. Description based on print version record. Bibliography: l. 137-143.

Title from PDF title page (viewed on January 23, 2008) Includes bibliography (p. 166-184).

The channels of distribution of the Indian Cotton Textile Industry present an interesting problem of economic development in a mixed economy where private and public corporations cooperate to achieve national objectives. This study was designed to describe and analyze the channels of distribution of cotton textiles in India, to specify the shortcomings that exist in the present distribution system, and to make recommendations to improve the efficiency of cotton textile distribution in India. There are always problems involved in collecting primary and even secondary data from a developing country like India. Therefore, mainly a comprehensive library research was conducted pertaining to the Indian Cotton Textile Industry and its distribution system. The secondary sources were published government reports, documents, monographs, books, articles, and trade associations reports.

Thesis (Ph. D.)--Columbia University. / Title from electronic title page (viewed Aug. 26, 2002). This electronic edition is part of the UNC-CH digitization project's database, Documenting the American South. It is a part of the collection The North Carolina experience, beginnings to 1940. Text scanned (OCR) by Apex Data Services, Inc. Images scanned by Tammy Evans. Text encoded by Apex Data Services, Inc., Melissa Meeks and Natalia Smith. Includes bibliographical references.