物件導向軟體之架構(Object-Oriented Software Construction)探討

Méthodes : Sur une série de 31 femmes présentant des varices périnéales d’origine extrasaphéniennes ayant bénéficié d’une exploration radiologique veineuse pelvienne et de l’embolisation des veines incontinentes nous avons étudié les résultats et les corrélations anatomo-clinique entre les varices et les signes cliniques de l’insuffisance veineuse pelvienne. Un sous-groupe B de 23 patientes présentant une insuffisance veineuse pelvienne et des signes cliniques a été comparé à un groupe A de 4 patientes qui ne présentaient pas d’insuffisance veineuse pelvienne à l’exploration. Nous avons choisi d’étudier 3 signes cliniques : la douleur pelvienne et la douleur des membres inférieurs survenant au début ou pendant les règles ainsi que la dyspareunie. La symptomatologie a été évaluée sur une échelle analogique de 0 à 10 et un score clinique (de 0 à 30) a été établi en ajoutant ces 3 chiffres.

http://link.springer.com/content/pdf/10.1007/BF02973687.pdf

Références bibliographiques: La fibroscopie bronchique

We propose a theoretically and practically improved density-based, hierarchical clustering method, providing a clustering hierarchy from which a simplified tree of significant clusters can be constructed. For obtaining a “flat” partition consisting of only the most significant clusters (possibly corresponding to different density thresholds), we propose a novel cluster stability measure, formalize the problem of maximizing the overall stability of selected clusters, and formulate an algorithm that computes an optimal solution to this problem. We demonstrate that our approach outperforms the current, state-of-the-art, density-based clustering methods on a wide variety of real world data.

Density-based clustering based on hierarchical density estimates

Wisdom of Crowds: The Value of Stock Opinions Transmitted through Social Media

The letter and/or sound combinations that make up a human language are limited by the human's ability to pronounce tnese sounds° Therefore, the standard library search, which as a rule looks for all possible combinations of letters to find a word, is wasteful. Certain letters simply cannot be followed by certain other letters and a search for them is senseless. Following this same line of reasoning, letters very frequently occur in the combinations that are germane to the particular language. The growing amount of alphanumeric information presently being stored on magnetic tape presents increasingly difficult problems in both the number of tape reels used and the time necessary to search this mass of information in order to extract pertinent literature. At the present time most of this literature on tape utilizes the standard IBM 6-bit code to express alphanumeric symbols. ~t is entirely feasible to record standard English literature on tape -be it professional abstracts or novels -using only approximately two-thirds of the binary bits utilized to represent the same piece of written material in the conventional code. This can be accomplished by setting up, in a 9-bit code, the 400-odd letter combinations occurring most frequently. A 9-bit representation allows the programmer to set up as many as 512 symbols, thus leaving sufficient leeway to assign symbols to the most frequentlyused words, mathematical symbols, professional expressions, that are expected to be encountered in the literature to be recorded. In addition, these relatively short 9-bit symbols can be assigned to all key words that it may be necessary to look for later, thereby accelerating any future library search.

Information storage and retrieval

This article deals with multidimensional analyses. Analyzed data are designed according to a conceptual model as a constellation of facts and dimensions, which are composed of multi-hierarchies. This model supports a query algebra defining a minimal core of operators, which produce multidimensional tables for displaying analyzed data. This user-oriented algebra supports complex analyses through advanced operators and binary operators. A graphical language, based on this algebra, is also provided to ease the specification of multidimensional queries. These graphical manipulations are expressed from a constellation schema and they produce multidimensional tables.

Algebraic and Graphic Languages for OLAP Manipulations.

/pdf/algebraic-and-graphic-languages-for-olap-manipulations-1ty0brbpxy.pdf

Algebraic and Graphic Languages for OLAP Manipulations

This paper presents a framework for integrating OLAP and recommendations. We focus on the anticipatory recommendation process that assists the user during his OLAP analysis by proposing to him the forthcoming analysis step. We present a context-aware preference model that matches decision-makers intuition, and we discuss a preference-based approach for generating personalized recommendations.

Preference-Based Recommendations for OLAP Analysis

Not only SQL (NoSQL) databases are becoming increasingly popular and have some interesting strengths

such as scalability and flexibility. In this paper, we investigate on the use of NoSQL systems for

implementing OLAP (On-Line Analytical Processing) systems. More precisely, we are interested in

instantiating OLAP systems (from the conceptual level to the logical level) and instantiating an aggregation

lattice (optimization). We define a set of rules to map star schemas into two NoSQL models: column-oriented

and document-oriented. The experimental part is carried out using the reference benchmark TPC.

Our experiments show that our rules can effectively instantiate such systems (star schema and lattice). We

also analyze differences between the two NoSQL systems considered. In our experiments, HBase (column-oriented)

happens to be faster than MongoDB (document-oriented) in terms of loading time.

/pdf/implementing-multidimensional-data-warehouses-into-nosql-4vw09e25ee.pdf

Implementing Multidimensional Data Warehouses into NoSQL

For more than a decade, researches on OLAP and multidimensional databases have generated methodologies, tools and resource management systems for the analysis of numeric data. With the growing availability of digital documents, there is a need for incorporating text-rich documents within multidimensional databases as well as an adapted framework for their analysis. This paper presents a new aggregation function that aggregates textual data in an OLAP environment. The Top_Keyword function ( Top_Kw for short) represents a set of documents by their most significant terms using a weighing function from information retrieval: tf.idf.

Olivier Teste

Papers

Algebraic and Graphic Languages for OLAP Manipulations.

Algebraic and Graphic Languages for OLAP Manipulations

Preference-Based Recommendations for OLAP Analysis

Implementing Multidimensional Data Warehouses into NoSQL

Top_Keyword: An Aggregation Function for Textual Document OLAP