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Searching and Ranking in Entity-Relationship Graphs

of novel search and ranking strategies over data that is organized in entity-relationship graphs. All presented techniques have been implemented as;

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Expert system design entity relationship

Expert system design entity relationship;

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Database Systems for Advanced Applications

. The papers are organized in topical sections on uncertain data and ranking, sensor networks, graphs, RFID and data streams, skyline and rising;

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Collecting, Processing and Presenting Geoscientific Information

literature, reviewing and ranking published books and journal articles, extracting relevant information from the literature in the form of text, data;

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MATLAB (R) and Design Recipes for Earth Sciences

usually involves searching relevant literature, reviewing and ranking published books and journal articles, extracting relevant information from;

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Graph Mining

HITS algorithm for ranking web search results. Finally, we conclude with a survey of tools and observations from related fields like sociology;

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C & Data Structures

Structures such as lists, stacks, queues, trees, graphs, searching and sorting. Every program listing is explained, line by line so that a student;

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Techniques for Searching, Parsing, and Matching

In this book the author presents some techniques for exploring trees and graphs. He illustrates the linear search technique and the;

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MDATA: A New Knowledge Representation Model

extraction, entity alignment, and knowledge reasoning with spatiotemporal factors. The MDATA model can be applied in many critical applications and;

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Database Design Using Entity-Relationship Diagrams

chapters on Enhanced Entity Relationship (EER) diagrams and reverse mapping. It uses cutting-edge case studies and examples to help readers master;

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Topics on Tournaments in Graph Theory

tournament and ranking the participants, universal tournaments, the use of oriented graphs and score vectors, and many other subjects.;

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Conceptual Modeling for User Interface Development

aspects of entity-relationship modeling which are relevant to ERMIAs, and presents the extensions to the notation that are necessary for modeling;

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Machine Learning for Text

relationship with ranking and machine learning methods. 3. Natural language processing: Chapters 10 through 16 discuss various sequence-centric and;

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Relevance Ranking for Vertical Search Engines

relevance, query intention, location-based relevance ranking, and cross-property ranking. It covers the most recent developments in vertical search;

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Spectral Radius of Graphs

have appeared in the literature in the preceding ten years, most of them with proofs, and including some previously unpublished results of the;

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Data Structures & Algorithms C++

data structures, searching and sorting algorithms are also studied. A non-mathematical approach is adopted for the study of algorithm;

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Learning to Rank for Information Retrieval and Natural Language Processing

, theories, applications, and future work. The author begins by showing that various ranking problems in information retrieval and natural;

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Building Search Applications

functions from Lucene that include indexing, searching, ranking, and spelling correction to build search engines. With this book you will learn to;

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Entity-Relationship Approach - ER '93

This volume contains the proceedings of the 12th International Conference of the Entity-Relationship Approach, held in Arlington, Texas;

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Probabilistic Ranking Techniques in Relational Databases

Ranking queries are widely used in data exploration, data analysis and decision making scenarios. While most of the currently proposed;

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Probabilistic Ranking Techniques in Relational Databases

Ranking queries are widely used in data exploration, data analysis and decision making scenarios. While most of the currently proposed;

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Searching for a God to Love

loving relationship God seeks to have with mere mortals. With chapter titles such as Beyond Mother Nature and The World's Greatest Lover;

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Relationships and Codependency

Your customers will be searching for clear answers to common problems that can cause difficulties in a relationship. This book does;

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Relationships and Codependency

Your customers will be searching for clear answers to common problems that can cause difficulties in a relationship. This book does;

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Web Information Systems Engineering - WISE 2019

topical sections: blockchain and crowdsourcing; machine learning; deep learning; recommender systems, data mining; web-based applications; entity;

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University Rankings

the relationship between the rankings and power in higher education. They show how the phenomenon can be read and explained through;

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Covering Walks in Graphs

by and closely related to Hamiltonian numbers are introduced. Results are illustrated on these two concepts and the relationship between;

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