In this chapter you will learn how to use a popular data-modeling tool, entity relationship diagrams, to document the data that must be captured and stored by a system, independently of showing how that data is or will be used—that is, independently of specific inputs, outputs, and processing. You will also learn about a data analysis technique called normalization that is used to ensure that a data model is a “good” data model.
Key motivations of data exploration include
Helping to select the right tool for preprocessing or analysis
Making use of humans’ abilities to recognize patterns
People can recognize patterns not captured by data analysis tools
Related to the area of Exploratory Data Analysis (EDA)
Created by statistician John Tukey
Seminal book is Exploratory Data Analysis by Tukey
A nice online introduction can be found in Chapter 1 of the NIST Engineering Statistics Handbook
This book is intended for anyone who needs to learn the fundamentals of data modeling using IBM InfoSphere Data Architect, an Eclipse-based tool that can help you create data models for various data servers.
CHAPTER 3 ■ THE ENTITY DATA MODEL INSIDE AND OUT
The Designer is the tool that allows you to work with the EDM and provides the functionality developers need to create, modify, and update the EDM. The Designer consists of several components to assist you in designing and editing your conceptual model. Figure 3-2 shows the different components, including the following: • • • • Designer surface: A visual surface for creating and modifying the conceptual model. Mapping Details window: The location where mappings are created or modified. The window is discussed later in the chapter.
Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Wertheim cung cấp cho các bạn kiến thức về ngành y đề tài: The Open Microscopy Environment (OME) Data Model and XML file: open tools for informatics and quantitative analysis in biological imaging...
Knowledge of thermodynamic data of copolymer solutions is a necessity for industrial and
laboratory processes. Furthermore, such data serve as essential tools for understanding the physical
behavior of copolymer solutions, for studying intermolecular interactions, and for gaining insights into the
molecular nature of mixtures. They also provide the necessary basis for any developments of theoretical
thermodynamic models. Scientists and engineers in academic and industrial research need such data and
will benefit from a careful collection of existing data.
Information management is vital for today’s businesses. It requires significant investment and
supports critical business processes. With the proliferation of the information economy and
information systems, effective information management determines success of virtually every
business operation. Obtaining business value from vast amount of information collected by businesses
is no longer only a technological challenge. The choice of decision making tools and information
solutions rests with the business, as well as with IT managers....
ất đai là tài nguyên của mỗi quốc gia vô cùng quý giá, là tư liệu sản xuất đặc biệt, là thành phần quan trọng hàng đầu của môi trường sống, là địa bàn phân bố các khu dân cư, xây dựng các cơ sở kinh tế, văn hóa, an ninh và quốc phòng. Việc quản lý sử dụng hiệu quả, bền vững tài nguyên đất là mục tiêu của mọi quốc gia.
Vấn đề quản lý và sử dụng đất đai đã có những ảnh hưởng lớn đối với sự phát triển KTXH. Trong quản lý, sử dụng đất đai,...
loại trừ lẫn nhau, một tình trạng phổ biến hơn bạn có thể nghi ngờ. Chúng ta có thể cho biết điều này với một vòng cung độc quyền (hình 4.13). Chúng tôi đã từng cảnh báo chống lại giới thiệu quá nhiều công ước bổ sung và các ký hiệu. Tuy nhiên, độc quyền cung là hữu ích, đủ để biện minh cho sự phức tạp thêm, và nó thậm chí còn được hỗ trợ bởi một số TRƯỜNG HỢP tools
GernEdiT (short for: GermaNet Editing Tool) offers a graphical interface for the lexicographers and developers of GermaNet to access and modify the underlying GermaNet resource. GermaNet is a lexical-semantic wordnet that is modeled after the Princeton WordNet for English. The traditional lexicographic development of GermaNet was error prone and time-consuming, mainly due to a complex underlying data format and no opportunity of automatic consistency checks.
Data-driven systems for natural language processing have the advantage that they can easily be ported to any language or domain for which appropriate training data can be found. However, many data-driven systems require careful tuning in order to achieve optimal performance, which may require specialized knowledge of the system. We present MaltOptimizer, a tool developed to facilitate optimization of parsers developed using MaltParser, a data-driven dependency parser generator.
Ebook Simatic Engineering Tools S7-Technology provides a complete overview of the "S7 technology" options package. It explains the programming model, the individual technology objects and the individual function blocks according to plcopen. It is aimed at programmers of step 7 programs and at people who work in the areas of configuring, commissioning and servicing automation systems with motion control applications.
Sophisticated : these include business analysts, scientists, engineers, others thoroughly familiar with the system capabilities. Many use tools in the form of software packages that work closely with the stored database.
Stand-alone : mostly maintain personal databases using ready-to-use packaged applications. An example is a tax program user that creates his or her own internal database.
It also outlines analytic developments that could help convert raw data into information useful for decisionmakers. The research reported here was sponsored by the Air Education and Training Command (AETC/CV) and HQ Air Force Deputy Chief of Staff, Personnel (AF/DP) and conducted within the Manpower, Personnel, and Training Program of RAND Project AIR FORCE (PAF) at the RAND Corporation. Earlier, PAF explored the requirements of a technical training schoolhouse model to address pipeline capacity.
Topic models have been used extensively as a tool for corpus exploration, and a cottage industry has developed to tweak topic models to better encode human intuitions or to better model data. However, creating such extensions requires expertise in machine learning unavailable to potential end-users of topic modeling software. In this work, we develop a framework for allowing users to iteratively reﬁne the topics discovered by models such as latent Dirichlet allocation (LDA) by adding constraints that enforce that sets of words must appear together in the same topic. ...
We present a novel application of NLP and text mining to the analysis of financial documents. In particular, we describe an implemented prototype, Maytag, which combines information extraction and subject classification tools in an interactive exploratory framework. We present experimental results on their performance, as tailored to the financial domain, and some forward-looking extensions to the approach that enables users to specify classifications on the fly.
Until very recently, most NLP tasks (e.g., parsing, tagging, etc.) have been conﬁned to a very limited number of languages, the so-called majority languages. Now, as the ﬁeld moves into the era of developing tools for Resource Poor Languages (RPLs)—a vast majority of the world’s 7,000 languages are resource poor—the discipline is confronted not only with the algorithmic challenges of limited data, but also the sheer difﬁculty of locating data in the ﬁrst place.
The Open Systems Interconnection (OSI) model is a reference tool for understanding data communications between any two networked systems. It divides the communications processes into seven layers. Each layer both performs specific functions to support the layers above it and offers services to the layers below it. The
three lowest layers focus on passing traffic through the network to an end system. The top four layers come into play in the end system to complete the process.
This book is compiled to provide the reader a critical appreciation of key tools of Lean and Six Sigma and their implementation into both manufacturing and service organizations through drawing upon the research findings of a range of specialist scholars (including academics and practitioners) who have either proposed a conceptual model of framework for Lean/Six Sigma or have empirically gathered an extensive range of new data from organizations in the manufacturing and service sectors across a number of countries.
MATLAB® & Simulink® are the premier software packages for technical
computation, data analysis, and visualization in education and industry. The
Student Version of MATLAB & Simulink provides all of the features of
professional MATLAB, with no limitations, and the full functionality of
professional Simulink, with model sizes up to 300 blocks. The Student Version
gives you immediate access to the high-performance numeric computing power