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Query Complexity

為了解決Query的問題，作者Szegedy, Mario,Newman, Ilan,Lee, Troy 這樣論述：

COVID-19 疫情期間企業授信策略之研究

為了解決Query的問題，作者蔡燕玲 這樣論述：

本研究將以台灣地區某資訊通路商之「授信策略」為主，進行客戶狀況之比較，是否可以透過信用風險模組影響因子來訂定出更為符合現況之授信機制，授信因子的部份透過專家訪談來分出重要性為何，並以敘述性進行分析，找出最重要的因子，來幫助資訊通路商來針對授信策略進行調整，並且利用2018年1月到2021年12月共計48個月樣本數150家的賒銷、收現的客戶應收帳款來解析疫情前後整個應收帳款，從客戶基本資料表、每月銷售統計、應收帳款報表來進行整理，計算應收帳款平均加權週轉天數的差異，從每月的資料整理成每年進行群組比對。由實證結果，該資訊通路商的交易型態94%是賒銷，應收帳款加權平均的轉天期的長短，說明疫情之前周

轉天期較短，疫情之後因周轉問題慢慢浮現，導致應收帳款回收天期較長，故利用此深入探討的機會檢視授信策略修正，整理了所有應收帳款收款率及應收帳款加權平均周轉天期的結論後，進行檢討授信策略政策，發現除了風險因子特別注意之外，應加強與客戶交易後的應收帳款管理，故提出建議，修正公司的信用評等表，建議其業務部門及授信部門將此點列入參考數據，後續將可以做風險控管及客戶分級。

Exploring Graphs with Elixir: Connect Data with Native Graph Libraries and Graph Databases

為了解決Query的問題，作者Hammond, Tony 這樣論述：

Data is everywhere - it’s just not very well connected, which makes it super hard to relate dataset to dataset. Using graphs as the underlying glue, you can readily join data together and create navigation paths across diverse sets of data. Add Elixir, with its awesome power of concurrency, and y

ou’ll soon be mastering data networks. Learn how different graph models can be accessed and used from within Elixir and how you can build a robust semantics overlay on top of graph data structures. We’ll start from the basics and examine the main graph paradigms. Get ready to embrace the world of co

nnected data!Graphs provide an intuitive and highly flexible means for organizing and querying huge amounts of loosely coupled data items. These data networks, or graphs in math speak, are typically stored and queried using graph databases. Elixir, with its noted support for fault tolerance and conc

urrency, stands out as a language eminently suited to processing sparsely connected and distributed datasets.Using Elixir and graph-aware packages in the Elixir ecosystem, you’ll easily be able to fit your data to graphs and networks, and gain new information insights. Build a testbed app for compar

ing native graph data with external graph databases. Develop a set of applications under a single umbrella app to drill down into graph structures. Build graph models in Elixir, and query graph databases of various stripes - using Cypher and Gremlin with property graphs and SPARQL with RDF graphs. T

ransform data from one graph modeling regime to another. Understand why property graphs are especially good at graph traversal problems, while RDF graphs shine at integrating different semantic models and can scale up to web proportions.Harness the outstanding power of concurrent processing in Elixi

r to work with distributed graph datasets and manage data at scale.What You Need: To follow along with the book, you should have Elixir 1.10+ installed. The book will guide you through setting up an umbrella application for a graph testbed using a variety of graph databases for which Java SDK 8+ is

generally required. Instructions for installing the graph databases are given in an appendix.