An IT system development framework utilizable without expert knowledge: MZ Platform
نویسندگان
چکیده
منابع مشابه
An Application Development Framework Using Expert System Approach
Most of the applications are developed to specific functionality and many a times the programming instructions are hard-coded. User interfaces some times heavy and crowded with lots of information even if few relevant inputs to be entered or asked from the user or displayed. The database code is more specific to type of database system and schema. Changing the application core logic, user inter...
متن کاملFish4label: accomplishing an expert task without expert knowledge
Obtaining large quantities of labeled data of sufficient quality is non-trivial, especially when expert knowledge is required. Experts are scarce and expensive, while laymen lack the necessary knowledge to perform the task. In this demo paper, we present an image labeling tool Fish4label. By carefully converting an object recognition task to a visual similarity comparison task, our tool enables...
متن کاملDesigning an expert system to advise the IT students' Master's degree for course selection
In the university educational system, students, depending on their different conditions, need guidance to choose the best courses and the best curriculum during a semester. Lack of sufficient information about class hours, exam interactions, prerequisites for each course, variety of instructors and other conditions may lead to a wrong choice and confusion of students. In this research, an exper...
متن کاملA 2000 Rule Expert System Without Knowledge Engineers
A knowledge acquisition methodology, Ripple Down Rules, has been developed which only allows knowledge to be used in the context in which it is acquired and ensures that only valid rules can be added to a knowledge base. This method has now been used to build a large (2000 rule) medical expert system. This system is in routine use in a Chemical Pathology laboratory providing clinical interpreta...
متن کاملDevelopment of an evolutionary fuzzy expert system for estimating future behavior of stock price
The stock market has always been an attractive area for researchers since no method has been found yet to predict the stock price behavior precisely. Due to its high rate of uncertainty and volatility, it carries a higher risk than any other investment area, thus the stock price behavior is difficult to simulation. This paper presents a “data mining-based evolutionary fuzzy expert system” (DEFE...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Synthesiology
سال: 2015
ISSN: 1882-6229,1882-7365
DOI: 10.5571/synth.8.3_158